← Authors

Dacheng Tao

430 papers · 2009–2026 · 17 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐝 Cross-Pollinator (13) πŸƒ Academic Marathon (16) 🌍 Conference Polyglot (17) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (42) 🌟 Keyword Trendsetter Combo (13) 🏠 Conference Loyalist (24) πŸ† Keyword Champion (3) 🀝 Dynamic Duo (63) πŸ† Grand Slam πŸ‘‘ Triple Crown πŸ”¬ Deep Specialist (37) ⚑ Prolific Year (33) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (17) πŸš€ Conference Pioneer πŸ’Ž Century Club (423) ❓ The Questioner (2) πŸ—ƒοΈ Keyword Collector (145)

Conferences

CVPR (94) NIPS (48) IJCAI (40) ICML (40) ECCV (35) ICLR (34) ICCV (34) ACL (31) AAAI (31) EMNLP (18) COLING (8) AISTATS (7) IJCNLP (3) JMLR (2) NAACL (2) UAI (2) AUTOML (1)

Top co-authors

Liang Ding (64) Li Shen (55) Jing Zhang (45) Chang Xu (33) Bo Du (32) Tongliang Liu (27) Fengxiang He (23) Mingming Gong (22) Xinchao Wang (21) Yong Luo (20)

Research topics

Privacy (3) Differential Privacy (1)

Keywords

knowledge distillation (29) large language model (24) model compression (23) graph neural network (18) representation learning (16) domain adaptation (14) attention mechanism (14) object detection (13) convolutional neural network (12) generative adversarial network (11) transfer learning (11) contrastive learning (11) data augmentation (11) machine translation (11) semantic segmentation (11) neural network (11) federated learning (10) few-shot learning (10) unsupervised learning (10) generative model (10)

Papers

SRD: Reinforcement-Learned Semantic Perturbation for Backdoor Defense in VLMs AAAI 2026
Lightning Fast Caching-based Parallel Denoising Prediction for Accelerating Talking Head Generation AAAI 2026
AD-FM: Multimodal LLMs for Anomaly Detection via Multi-Stage Reasoning and Fine-Grained Reward Optimization AAAI 2026
Time-Frequency Token Advantage Clipping for Training Efficient Large Reasoning Model AAAI 2026
Free-Form Scene Editor: Enabling Multi-Round Object Manipulation Like in a 3D Engine AAAI 2026
Bridging the Tokenizer Gap: Semantics and Distribution-aware Knowledge Transfer for Unbiased Cross-Tokenizer Distillation AAAI 2026
CogniTrust: Cognitive Memory-Driven Verifiable Supervision for Robust Hashing AAAI 2026
Safety Reasoning with Guidelines ICML 2025
LLM Data Selection and Utilization via Dynamic Bi-level Optimization ICML 2025
Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Large Language Models AAAI 2025
Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning AAAI 2025
Modeling All Response Surfaces in One for Conditional Search Spaces AAAI 2025
ELBA-Bench: An Efficient Learning Backdoor Attacks Benchmark for Large Language Models ACL 2025
Dynamic Parallel Tree Search for Efficient LLM Reasoning ACL 2025
Multinoulli Extension: A Lossless Yet Effective Probabilistic Framework for Subset Selection over Partition Constraints ICML 2025
Decision Mixer: Integrating Long-term and Local Dependencies via Dynamic Token Selection for Decision-Making ICML 2025
Open-Vocabulary Customization from CLIP via Data-Free Knowledge Distillation ICLR 2025
A Statistical Approach for Controlled Training Data Detection ICLR 2025
NoVo: Norm Voting off Hallucinations with Attention Heads in Large Language Models ICLR 2025
Dynamic Neural Fortresses: An Adaptive Shield for Model Extraction Defense ICLR 2025
Combatting Dimensional Collapse in LLM Pre-Training Data via Submodular File Selection ICLR 2025
Learning system dynamics without forgetting ICLR 2025
Near-Optimal Online Learning for Multi-Agent Submodular Coordination: Tight Approximation and Communication Efficiency ICLR 2025
A Theoretical Perspective: How to Prevent Model Collapse in Self-consuming Training Loops ICLR 2025
Energy-based Backdoor Defense Against Federated Graph Learning ICLR 2025
FreDF: Learning to Forecast in the Frequency Domain ICLR 2025
CopyrightShield: Enhancing Diffusion Model Security Against Copyright Infringement Attacks ICCV 2025
Harnessing Text-to-Image Diffusion Models for Point Cloud Self-Supervised Learning ICCV 2025
R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization ICCV 2025
Free-Form Motion Control: Controlling the 6D Poses of Camera and Objects in Video Generation ICCV 2025
Rethink Sparse Signals for Pose-guided Text-to-image Generation ICCV 2025
Runaway is Ashamed, But Helpful: On the Early-Exit Behavior of Large Language Model-based Agents in Embodied Environments EMNLP 2025
Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Models EMNLP 2025
Robust Knowledge Editing via Explicit Reasoning Chains for Distractor-Resilient Multi-Hop QA EMNLP 2025
LoRA Recycle: Unlocking Tuning-Free Few-Shot Adaptability in Visual Foundation Models by Recycling Pre-Tuned LoRAs CVPR 2025
Neuron: Learning Context-Aware Evolving Representations for Zero-Shot Skeleton Action Recognition CVPR 2025
Learn from Downstream and Be Yourself in Multimodal Large Language Models Fine-Tuning ICML 2025
Be Confident: Uncovering Overfitting in MLLM Multi-Task Tuning ICML 2025
Mastering Massive Multi-Task Reinforcement Learning via Mixture-of-Expert Decision Transformer ICML 2025
Network Sparsity Unlocks the Scaling Potential of Deep Reinforcement Learning ICML 2025
The Energy Loss Phenomenon in RLHF: A New Perspective on Mitigating Reward Hacking ICML 2025
ICLShield: Exploring and Mitigating In-Context Learning Backdoor Attacks ICML 2025
AsymRnR: Video Diffusion Transformers Acceleration with Asymmetric Reduction and Restoration ICML 2025
Revisiting Backdoor Attacks against Large Vision-Language Models from Domain Shift CVPR 2025
Human-Imperceptible, Machine-Recognizable Images IJCAI 2025
FusionBench: A Unified Library and Comprehensive Benchmark for Deep Model Fusion JMLR 2025
CFinBench: A Comprehensive Chinese Financial Benchmark for Large Language Models NAACL 2025
MQM-APE: Toward High-Quality Error Annotation Predictors with Automatic Post-Editing in LLM Translation Evaluators COLING 2025
Large Language Models as an Indirect Reasoner: Contrapositive and Contradiction for Automated Reasoning COLING 2025
Intention Analysis Makes LLMs A Good Jailbreak Defender COLING 2025
MMReason: An Open-Ended Multi-Modal Multi-Step Reasoning Benchmark for MLLMs Toward AGI ICCV 2025
KaFT: Knowledge-aware Fine-tuning for Boosting LLMs’ Domain-specific Question-Answering Performance ACL 2025
Edit Once, Update Everywhere: A Simple Framework for Cross-Lingual Knowledge Synchronization in LLMs ACL 2025
Supervised Optimism Correction: Be Confident When LLMs Are Sure ACL 2025
Enhancing Input-Label Mapping in In-Context Learning with Contrastive Decoding ACL 2025
VisuoThink: Empowering LVLM Reasoning with Multimodal Tree Search ACL 2025
Retrieval-Augmented Perception: High-resolution Image Perception Meets Visual RAG ICML 2025
Q-value Regularized Transformer for Offline Reinforcement Learning ICML 2024
HarmoDT: Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning ICML 2024
Sparse Model Inversion: Efficient Inversion of Vision Transformers for Data-Free Applications ICML 2024
Merging Multi-Task Models via Weight-Ensembling Mixture of Experts ICML 2024
Generalization Analysis of Stochastic Weight Averaging with General Sampling ICML 2024
Task Groupings Regularization: Data-Free Meta-Learning with Heterogeneous Pre-trained Models ICML 2024
Representation Surgery for Multi-Task Model Merging ICML 2024
Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases ICML 2024
Deep Graph Mating NIPS 2024
GoMatching: A Simple Baseline for Video Text Spotting via Long and Short Term Matching NIPS 2024
MG-Net: Learn to Customize QAOA with Circuit Depth Awareness NIPS 2024
A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs NIPS 2024
Offline Behavior Distillation NIPS 2024
Decomposed Prompt Decision Transformer for Efficient Unseen Task Generalization NIPS 2024
InfoRM: Mitigating Reward Hacking in RLHF via Information-Theoretic Reward Modeling NIPS 2024
TDΒ²-Net: Toward Denoising and Debiasing for Video Scene Graph Generation AAAI 2024
Multi-Step Denoising Scheduled Sampling: Towards Alleviating Exposure Bias for Diffusion Models AAAI 2024
SimDistill: Simulated Multi-Modal Distillation for BEV 3D Object Detection AAAI 2024
Speech Sense Disambiguation: Tackling Homophone Ambiguity in End-to-End Speech Translation ACL 2024
Revisiting Demonstration Selection Strategies in In-Context Learning ACL 2024
Revisiting Knowledge Distillation for Autoregressive Language Models ACL 2024
Uncertainty Aware Learning for Language Model Alignment ACL 2024
DB-LLM: Accurate Dual-Binarization for Efficient LLMs ACL 2024
Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models ACL 2024
OOP: Object-Oriented Programming Evaluation Benchmark for Large Language Models ACL 2024
ROSE Doesn’t Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding ACL 2024
3AM: An Ambiguity-Aware Multi-Modal Machine Translation Dataset COLING 2024
Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias in Factual Knowledge Extraction COLING 2024
Adaptive Time-Stepping Schedules for Diffusion Models UAI 2024
Identifiability and Asymptotics in Learning Homogeneous Linear ODE Systems from Discrete Observations JMLR 2024
Joint Input and Output Coordination for Class-Incremental Learning IJCAI 2024
FREE: Faster and Better Data-Free Meta-Learning CVPR 2024
UniMix: Towards Domain Adaptive and Generalizable LiDAR Semantic Segmentation in Adverse Weather CVPR 2024
Local-consistent Transformation Learning for Rotation-invariant Point Cloud Analysis CVPR 2024
Sheared Backpropagation for Fine-tuning Foundation Models CVPR 2024
One More Step: A Versatile Plug-and-Play Module for Rectifying Diffusion Schedule Flaws and Enhancing Low-Frequency Controls CVPR 2024
Synergy of Sight and Semantics: Visual Intention Understanding with CLIP ECCV 2024
Fisher Calibration for Backdoor-Robust Heterogeneous Federated Learning ECCV 2024
Self-Powered LLM Modality Expansion for Large Speech-Text Models EMNLP 2024
LLMC: Benchmarking Large Language Model Quantization with a Versatile Compression Toolkit EMNLP 2024
Revisiting Catastrophic Forgetting in Large Language Model Tuning EMNLP 2024
Learning from Imperfect Data: Towards Efficient Knowledge Distillation of Autoregressive Language Models for Text-to-SQL EMNLP 2024
Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages ICLR 2024
Learning Multi-Agent Communication from Graph Modeling Perspective ICLR 2024
One For All: Towards Training One Graph Model For All Classification Tasks ICLR 2024
Parameter-Efficient Multi-Task Model Fusion with Partial Linearization ICLR 2024
Convergence of Bayesian Bilevel Optimization ICLR 2024
AdaMerging: Adaptive Model Merging for Multi-Task Learning ICLR 2024
Towards Theoretical Understandings of Self-Consuming Generative Models ICML 2024
Decentralized SGD and Average-direction SAM are Asymptotically Equivalent ICML 2023
Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training ACL 2023
Self-Evolution Learning for Discriminative Language Model Pretraining ACL 2023
TransGEC: Improving Grammatical Error Correction with Translationese ACL 2023
Token-Level Self-Evolution Training for Sequence-to-Sequence Learning ACL 2023
PAD-Net: An Efficient Framework for Dynamic Networks ACL 2023
Revisiting Token Dropping Strategy in Efficient BERT Pretraining ACL 2023
Toward Human-Like Evaluation for Natural Language Generation with Error Analysis ACL 2023
Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking ACL 2023
CASN:Class-Aware Score Network for Textual Adversarial Detection ACL 2023
Tilted Sparse Additive Models ICML 2023
Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities IJCAI 2023
Improving Heterogeneous Model Reuse by Density Estimation IJCAI 2023
Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape ICML 2023
Dynamic Focus-Aware Positional Queries for Semantic Segmentation CVPR 2023
Leverage Interactive Affinity for Affordance Learning CVPR 2023
Upcycling Models Under Domain and Category Shift CVPR 2023
Learnable Skeleton-Aware 3D Point Cloud Sampling CVPR 2023
CLAMP: Prompt-Based Contrastive Learning for Connecting Language and Animal Pose CVPR 2023
Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization CVPR 2023
Generating Holistic 3D Human Motion From Speech CVPR 2023
Architecture, Dataset and Model-Scale Agnostic Data-Free Meta-Learning CVPR 2023
DeepSolo: Let Transformer Decoder With Explicit Points Solo for Text Spotting CVPR 2023
Make Landscape Flatter in Differentially Private Federated Learning CVPR 2023
From Images to Textual Prompts: Zero-Shot Visual Question Answering With Frozen Large Language Models CVPR 2023
Deep Graph Reprogramming CVPR 2023
TriDet: Temporal Action Detection With Relative Boundary Modeling CVPR 2023
Improving the Model Consistency of Decentralized Federated Learning ICML 2023
Structured Cooperative Learning with Graphical Model Priors ICML 2023
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning ICML 2023
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning ICLR 2023
Symmetric Pruning in Quantum Neural Networks ICLR 2023
Alternating Differentiation for Optimization Layers ICLR 2023
Towards One-shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case ICLR 2023
FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy ICLR 2023
Unified Discrete Diffusion for Simultaneous Vision-Language Generation ICLR 2023
Sharper Bounds for Uniformly Stable Algorithms with Stationary Mixing Process ICLR 2023
HiT-MDP: Learning the SMDP option framework on MDPs with Hidden Temporal Embeddings ICLR 2023
CktGNN: Circuit Graph Neural Network for Electronic Design Automation ICLR 2023
VanillaNet: the Power of Minimalism in Deep Learning NIPS 2023
SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model NIPS 2023
Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman NIPS 2023
MAG-GNN: Reinforcement Learning Boosted Graph Neural Network NIPS 2023
ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding NIPS 2023
Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm NIPS 2023
Class-Aware Patch Embedding Adaptation for Few-Shot Image Classification ICCV 2023
Knowledge-Aware Federated Active Learning with Non-IID Data ICCV 2023
Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning ICCV 2023
Domain Specified Optimization for Deployment Authorization ICCV 2023
Exploring Temporal Concurrency for Video-Language Representation Learning ICCV 2023
DDS2M: Self-Supervised Denoising Diffusion Spatio-Spectral Model for Hyperspectral Image Restoration ICCV 2023
Cocktail: Mixing Multi-Modality Control for Text-Conditional Image Generation NIPS 2023
Domain Re-Modulation for Few-Shot Generative Domain Adaptation NIPS 2023
Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning NIPS 2023
Towards Making the Most of ChatGPT for Machine Translation EMNLP 2023
Merging Experts into One: Improving Computational Efficiency of Mixture of Experts EMNLP 2023
Zero-shot Sharpness-Aware Quantization for Pre-trained Language Models EMNLP 2023
PromptST: Abstract Prompt Learning for End-to-End Speech Translation EMNLP 2023
Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks EMNLP 2023
All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation NIPS 2023
Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed Initialization NIPS 2023
Poisson Process for Bayesian Optimization AUTOML 2023
Referring Image Matting CVPR 2023
Offline Quantum Reinforcement Learning in a Conservative Manner AAAI 2023
Learning to Learn Better for Video Object Segmentation AAAI 2023
DPText-DETR: Towards Better Scene Text Detection with Dynamic Points in Transformer AAAI 2023
Learning to Generalize Provably in Learning to Optimize AISTATS 2023
FedABC: Targeting Fair Competition in Personalized Federated Learning AAAI 2023
ContraFeat: Contrasting Deep Features for Semantic Discovery AAAI 2023
Improving Simultaneous Machine Translation with Monolingual Data AAAI 2023
Evaluating Model-Free Reinforcement Learning toward Safety-Critical Tasks AAAI 2023
Identity-Disentangled Adversarial Augmentation for Self-supervised Learning ICML 2022
SASA: Semantics-Augmented Set Abstraction for Point-Based 3D Object Detection AAAI 2022
On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine Translation COLING 2022
A Contrastive Cross-Channel Data Augmentation Framework for Aspect-Based Sentiment Analysis COLING 2022
CGLB: Benchmark Tasks for Continual Graph Learning NIPS 2022
Contrastive Boundary Learning for Point Cloud Segmentation CVPR 2022
Alleviating Semantics Distortion in Unsupervised Low-Level Image-to-Image Translation via Structure Consistency Constraint CVPR 2022
BatchFormer: Learning To Explore Sample Relationships for Robust Representation Learning CVPR 2022
DearKD: Data-Efficient Early Knowledge Distillation for Vision Transformers CVPR 2022
GMFlow: Learning Optical Flow via Global Matching CVPR 2022
Recurrent Glimpse-Based Decoder for Detection With Transformer CVPR 2022
Learning To Collaborate in Decentralized Learning of Personalized Models CVPR 2022
ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation CVPR 2022
Source-Free Domain Adaptation via Distribution Estimation CVPR 2022
Distillation Using Oracle Queries for Transformer-Based Human-Object Interaction Detection CVPR 2022
Defensive Patches for Robust Recognition in the Physical World CVPR 2022
HL-Net: Heterophily Learning Network for Scene Graph Generation CVPR 2022
Modeling Image Composition for Complex Scene Generation CVPR 2022
Learning Affordance Grounding From Exocentric Images CVPR 2022
Few-Shot Backdoor Defense Using Shapley Estimation CVPR 2022
Patch Slimming for Efficient Vision Transformers CVPR 2022
RU-Net: Regularized Unrolling Network for Scene Graph Generation CVPR 2022
Continual Learning With Lifelong Vision Transformer CVPR 2022
Self-Augmented Unpaired Image Dehazing via Density and Depth Decomposition CVPR 2022
FIBA: Frequency-Injection Based Backdoor Attack in Medical Image Analysis CVPR 2022
Bridged Transformer for Vision and Point Cloud 3D Object Detection CVPR 2022
Fine-Tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning CVPR 2022
A Survey on Gradient Inversion: Attacks, Defenses and Future Directions IJCAI 2022
Learning Graph Neural Networks for Image Style Transfer ECCV 2022
Towards Data-Efficient Detection Transformers ECCV 2022
ReAct: Temporal Action Detection with Relational Queries ECCV 2022
Online Continual Learning with Contrastive Vision Transformer ECCV 2022
VSA: Learning Varied-Size Window Attention in Vision Transformers ECCV 2022
Balancing Stability and Plasticity through Advanced Null Space in Continual Learning ECCV 2022
Discovering Human-Object Interaction Concepts via Self-Compositional Learning ECCV 2022
PolyphonicFormer: Unified Query Learning for Depth-Aware Video Panoptic Segmentation ECCV 2022
Panoptic-PartFormer: Learning a Unified Model for Panoptic Part Segmentation ECCV 2022
RegionCL: Exploring Contrastive Region Pairs for Self-Supervised Representation Learning ECCV 2022
BMD: A General Class-Balanced Multicentric Dynamic Prototype Strategy for Source-Free Domain Adaptation ECCV 2022
"Fashionformer: A Simple, Effective and Unified Baseline for Human Fashion Segmentation and Recognition" ECCV 2022
"Towards Scale-Aware, Robust, and Generalizable Unsupervised Monocular Depth Estimation by Integrating IMU Motion Dynamics" ECCV 2022
ST-P3: End-to-End Vision-Based Autonomous Driving via Spatial-Temporal Feature Learning ECCV 2022
"JPerceiver: Joint Perception Network for Depth, Pose and Layout Estimation in Driving Scenes" ECCV 2022
TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack EMNLP 2022
SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters EMNLP 2022
Improving Sharpness-Aware Minimization with Fisher Mask for Better Generalization on Language Models EMNLP 2022
Vega-MT: The JD Explore Academy Machine Translation System for WMT22 EMNLP 2022
DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training ICML 2022
Continual Learning through Retrieval and Imagination AAAI 2022
Topology-aware Generalization of Decentralized SGD ICML 2022
Penalized Proximal Policy Optimization for Safe Reinforcement Learning IJCAI 2022
Knowledge Removal in Sampling-based Bayesian Inference ICLR 2022
A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning ICLR 2022
Huber Additive Models for Non-stationary Time Series Analysis ICLR 2022
Robust Unlearnable Examples: Protecting Data Privacy Against Adversarial Learning ICLR 2022
FP-DETR: Detection Transformer Advanced by Fully Pre-training ICLR 2022
Rethinking Class-Prior Estimation for Positive-Unlabeled Learning ICLR 2022
Redistributing Low-Frequency Words: Making the Most of Monolingual Data in Non-Autoregressive Translation ACL 2022
A Model-agnostic Data Manipulation Method for Persona-based Dialogue Generation ACL 2022
ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation NIPS 2022
Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network? NIPS 2022
Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach NIPS 2022
Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach NIPS 2022
Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits NIPS 2022
Benefits of Permutation-Equivariance in Auction Mechanisms NIPS 2022
APT-36K: A Large-scale Benchmark for Animal Pose Estimation and Tracking NIPS 2022
Adaptive Curriculum Learning ICCV 2021
SynFace: Face Recognition With Synthetic Data ICCV 2021
Stochastic Partial Swap: Enhanced Model Generalization and Interpretability for Fine-Grained Recognition ICCV 2021
TGRNet: A Table Graph Reconstruction Network for Table Structure Recognition ICCV 2021
AdderSR: Towards Energy Efficient Image Super-Resolution CVPR 2021
Improving Neural Machine Translation by Bidirectional Training EMNLP 2021
The USYD-JD Speech Translation System for IWSLT2021 IJCNLP 2021
Class-Disentanglement and Applications in Adversarial Detection and Defense NIPS 2021
The USYD-JD Speech Translation System for IWSLT2021 ACL 2021
Progressive Multi-Granularity Training for Non-Autoregressive Translation ACL 2021
Where and What? Examining Interpretable Disentangled Representations CVPR 2021
Glance and Gaze: Inferring Action-Aware Points for One-Stage Human-Object Interaction Detection CVPR 2021
Turning Frequency to Resolution: Video Super-Resolution via Event Cameras CVPR 2021
Learning Progressive Point Embeddings for 3D Point Cloud Generation CVPR 2021
Understanding and Improving Lexical Choice in Non-Autoregressive Translation ICLR 2021
Tree-Like Decision Distillation CVPR 2021
Commutative Lie Group VAE for Disentanglement Learning ICML 2021
Progressive Multi-Granularity Training for Non-Autoregressive Translation IJCNLP 2021
Tighter Generalization Bounds for Iterative Differentially Private Learning Algorithms UAI 2021
Gauge Equivariant Transformer NIPS 2021
HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens CVPR 2021
Scene Essence CVPR 2021
Online Multiple Object Tracking With Cross-Task Synergy CVPR 2021
Bigram and Unigram Based Text Attack via Adaptive Monotonic Heuristic Search AAAI 2021
A Comprehensive Survey on Image Dehazing Based on Deep Learning IJCAI 2021
BESA: BERT-based Simulated Annealing for Adversarial Text Attacks IJCAI 2021
One-Shot Affordance Detection IJCAI 2021
Deep Automatic Natural Image Matting IJCAI 2021
Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation IJCNLP 2021
Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation ACL 2021
Detecting Human-Object Interaction via Fabricated Compositional Learning CVPR 2021
Affordance Transfer Learning for Human-Object Interaction Detection CVPR 2021
Manifold Regularized Dynamic Network Pruning CVPR 2021
Amalgamating Knowledge From Heterogeneous Graph Neural Networks CVPR 2021
Multi-label Few-shot Learning with Semantic Inference (Student Abstract) AAAI 2021
Deep Graph-neighbor Coherence Preserving Network for Unsupervised Cross-modal Hashing AAAI 2021
ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias NIPS 2021
SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data AAAI 2021
Progressive One-shot Human Parsing AAAI 2021
Out-of-Boundary View Synthesis Towards Full-Frame Video Stabilization ICCV 2021
Meta-Aggregator: Learning To Aggregate for 1-Bit Graph Neural Networks ICCV 2021
GPS-Net: Graph Property Sensing Network for Scene Graph Generation CVPR 2020
Deep Streaming Label Learning ICML 2020
Label-Noise Robust Domain Adaptation ICML 2020
Pretrained Language Models for Dialogue Generation with Multiple Input Sources EMNLP 2020
Grapy-ML: Graph Pyramid Mutual Learning for Cross-Dataset Human Parsing AAAI 2020
Collaborative Learning of Depth Estimation, Visual Odometry and Camera Relocalization from Monocular Videos IJCAI 2020
PuppeteerGAN: Arbitrary Portrait Animation With Semantic-Aware Appearance Transformation CVPR 2020
Learning Unseen Concepts via Hierarchical Decomposition and Composition CVPR 2020
FeatureFlow: Robust Video Interpolation via Structure-to-Texture Generation CVPR 2020
Context Aware Graph Convolution for Skeleton-Based Action Recognition CVPR 2020
Syntax-Aware Action Targeting for Video Captioning CVPR 2020
Learning Oracle Attention for High-Fidelity Face Completion CVPR 2020
Distilling Knowledge From Graph Convolutional Networks CVPR 2020
On Positive-Unlabeled Classification in GAN CVPR 2020
Recurrent Feature Reasoning for Image Inpainting CVPR 2020
Understanding Generalization in Recurrent Neural Networks ICLR 2020
Piecewise linear activations substantially shape the loss surfaces of neural networks ICLR 2020
Context-Aware Cross-Attention for Non-Autoregressive Translation COLING 2020
Hard Example Generation by Texture Synthesis for Cross-domain Shape Similarity Learning NIPS 2020
Video Frame Interpolation without Temporal Priors NIPS 2020
SCOP: Scientific Control for Reliable Neural Network Pruning NIPS 2020
Learning with Bounded Instance and Label-dependent Label Noise ICML 2020
LTF: A Label Transformation Framework for Correcting Label Shift ICML 2020
Auto Learning Attention NIPS 2020
Searching for Low-Bit Weights in Quantized Neural Networks NIPS 2020
Part-dependent Label Noise: Towards Instance-dependent Label Noise NIPS 2020
Short-Term and Long-Term Context Aggregation Network for Video Inpainting ECCV 2020
Hallucinating Visual Instances in Total Absentia ECCV 2020
Learning Disentangled Representations with Latent Variation Predictability ECCV 2020
Symbiotic Adversarial Learning for Attribute-based Person Search ECCV 2020
Visual Compositional Learning for Human-Object Interaction Detection ECCV 2020
Spatiotemporal Attacks for Embodied Agents ECCV 2020
Polysemy Deciphering Network for Human-Object Interaction Detection ECCV 2020
Learning Propagation Rules for Attribution Map Generation ECCV 2020
On Dropping Clusters to Regularize Graph Convolutional Neural Networks ECCV 2020
Domain Generalization via Entropy Regularization NIPS 2020
Self-Attention with Cross-Lingual Position Representation ACL 2020
Asymmetric Cross-Guided Attention Network for Actor and Action Video Segmentation From Natural Language Query ICCV 2019
Approximated Bilinear Modules for Temporal Modeling ICCV 2019
Self-Supervised Representation Learning From Multi-Domain Data ICCV 2019
Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation NIPS 2019
Learning from Bad Data via Generation NIPS 2019
DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs CVPR 2019
Positive-Unlabeled Compression on the Cloud NIPS 2019
Learn, Imagine and Create: Text-to-Image Generation from Prior Knowledge NIPS 2019
Control Batch Size and Learning Rate to Generalize Well: Theoretical and Empirical Evidence NIPS 2019
BAG: Bi-directional Attention Entity Graph Convolutional Network for Multi-hop Reasoning Question Answering NAACL 2019
ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering AAAI 2019
Fast Spatio-Temporal Residual Network for Video Super-Resolution CVPR 2019
Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain Mapping CVPR 2019
MirrorGAN: Learning Text-To-Image Generation by Redescription CVPR 2019
Smooth Deep Image Generator from Noises AAAI 2019
Collect and Select: Semantic Alignment Metric Learning for Few-Shot Learning ICCV 2019
Learning a Mixture of Granularity-Specific Experts for Fine-Grained Categorization ICCV 2019
Not All Parts Are Created Equal: 3D Pose Estimation by Modeling Bi-Directional Dependencies of Body Parts ICCV 2019
Likelihood-Free Overcomplete ICA and Applications In Causal Discovery NIPS 2019
Deep Metric Learning With Tuplet Margin Loss ICCV 2019
Deep Reinforcement Active Learning for Human-in-the-Loop Person Re-Identification ICCV 2019
Image-Question-Answer Synergistic Network for Visual Dialog CVPR 2019
Self-Supervised Representation Learning by Rotation Feature Decoupling CVPR 2019
Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation CVPR 2019
World From Blur CVPR 2019
Deep Modular Co-Attention Networks for Visual Question Answering CVPR 2019
On Exploring Undetermined Relationships for Visual Relationship Detection CVPR 2019
Progressive Reconstruction of Visual Structure for Image Inpainting ICCV 2019
Theoretical Analysis of Adversarial Learning: A Minimax Approach NIPS 2019
LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning NIPS 2019
Perceptual-Sensitive GAN for Generating Adversarial Patches AAAI 2019
The University of Sydney’s Machine Translation System for WMT19 ACL 2019
SPAGAN: Shortest Path Graph Attention Network IJCAI 2019
Saliency Preservation in Low-Resolution Grayscale Images ECCV 2018
Learning Versatile Filters for Efficient Convolutional Neural Networks NIPS 2018
Dual Swap Disentangling NIPS 2018
Geometry-Aware Scene Text Detection With Instance Transformation Network CVPR 2018
Deep Ordinal Regression Network for Monocular Depth Estimation CVPR 2018
Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval CVPR 2018
An Efficient and Provable Approach for Mixture Proportion Estimation Using Linear Independence Assumption CVPR 2018
Context Refinement for Object Detection ECCV 2018
Attention-GAN for Object Transfiguration in Wild Images ECCV 2018
Correcting the Triplet Selection Bias for Triplet Loss ECCV 2018
FishEyeRecNet: A Multi-Context Collaborative Deep Network for Fisheye Image Rectification ECCV 2018
Learning with Biased Complementary Labels ECCV 2018
Deep Domain Generalization via Conditional Invariant Adversarial Networks ECCV 2018
Selective Zero-Shot Classification with Augmented Attributes ECCV 2018
Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields ECCV 2018
Semantic Structure-based Unsupervised Deep Hashing IJCAI 2018
Rethinking Diversified and Discriminative Proposal Generation for Visual Grounding IJCAI 2018
Quantum Divide-and-Conquer Anchoring for Separable Non-negative Matrix Factorization IJCAI 2018
R-SVM+: Robust Learning with Privileged Information IJCAI 2018
Online Heterogeneous Transfer Metric Learning IJCAI 2018
Privileged Multi-label Learning IJCAI 2017
Adaptive Manifold Regularized Matrix Factorization for Data Clustering IJCAI 2017
A Coarse-Fine Network for Keypoint Localization ICCV 2017
A Joint Intrinsic-Extrinsic Prior Model for Retinex ICCV 2017
On Compressing Deep Models by Low Rank and Sparse Decomposition CVPR 2017
Multi-Modal Factorized Bilinear Pooling With Co-Attention Learning for Visual Question Answering ICCV 2017
Algorithmic Stability and Hypothesis Complexity ICML 2017
Centered Weight Normalization in Accelerating Training of Deep Neural Networks ICCV 2017
Beyond Filters: Compact Feature Map for Portable Deep Model ICML 2017
Improving Training of Deep Neural Networks via Singular Value Bounding CVPR 2017
Privileged Matrix Factorization for Collaborative Filtering IJCAI 2017
Collaborative Rating Allocation IJCAI 2017
Classification and Representation Joint Learning via Deep Networks IJCAI 2017
Fast SVM Trained by Divide-and-Conquer Anchors IJCAI 2017
Understanding How Feature Structure Transfers in Transfer Learning IJCAI 2017
Exploiting High-Order Information in Heterogeneous Multi-Task Feature Learning IJCAI 2017
General Heterogeneous Transfer Distance Metric Learning via Knowledge Fragments Transfer IJCAI 2017
Improving Stochastic Block Models by Incorporating Power-Law Degree Characteristic IJCAI 2017
Tag Disentangled Generative Adversarial Network for Object Image Re-rendering IJCAI 2017
On Gleaning Knowledge from Multiple Domains for Active Learning IJCAI 2017
Multi-Positive and Unlabeled Learning IJCAI 2017
Multi-View Exclusive Unsupervised Dimension Reduction for Video-Based Facial Expression Recognition IJCAI 2016
On Combining Side Information and Unlabeled Data for Heterogeneous Multi-Task Metric Learning IJCAI 2016
Empirical Risk Minimization for Metric Learning Using Privileged Information IJCAI 2016
Online Multi-Object Tracking by Quadratic Pseudo-Boolean Optimization IJCAI 2016
CNNpack: Packing Convolutional Neural Networks in the Frequency Domain NIPS 2016
Multilinear Hyperplane Hashing CVPR 2016
Conditional Graphical Lasso for Multi-Label Image Classification CVPR 2016
Part-Stacked CNN for Fine-Grained Visual Categorization CVPR 2016
Occlusion Boundary Detection via Deep Exploration of Context CVPR 2016
Domain Adaptation with Conditional Transferable Components ICML 2016
Multi-view Self-Paced Learning for Clustering IJCAI 2015
Augmenting Strong Supervision Using Web Data for Fine-Grained Categorization ICCV 2015
Multi-Task Model and Feature Joint Learning IJCAI 2015
Multi-View Matrix Decomposition: A New Scheme for Exploring Discriminative Information IJCAI 2015
Discovering Temporal Causal Relations from Subsampled Data ICML 2015
A Maximum Entropy Feature Descriptor for Age Invariant Face Recognition CVPR 2015
FaLRR: A Fast Low Rank Representation Solver CVPR 2015
Saliency Propagation From Simple to Difficult CVPR 2015
MUlti-Store Tracker (MUSTer): A Cognitive Psychology Inspired Approach to Object Tracking CVPR 2015
Semi-Supervised Coupled Dictionary Learning for Person Re-identification CVPR 2014
Large-margin Weakly Supervised Dimensionality Reduction ICML 2014
Weakly Supervised Multiclass Video Segmentation CVPR 2014
Semi-Supervised Learning with Manifold Fitted Graphs IJCAI 2013
A Bayesian Factorised Covariance Model for Image Analysis IJCAI 2013
Semi-supervised Node Splitting for Random Forest Construction CVPR 2013
Visual Reranking through Weakly Supervised Multi-graph Learning ICCV 2013
Tracking via Robust Multi-task Multi-view Joint Sparse Representation ICCV 2013
Greedy Bilateral Sketch, Completion & Smoothing AISTATS 2013
Shifted Subspaces Tracking on Sparse Outlier for Motion Segmentation IJCAI 2013
CorrLog: Correlated Logistic Models for Joint Prediction of Multiple Labels AISTATS 2012
Multi-label Subspace Ensemble AISTATS 2012
Generalization Bound for Infinitely Divisible Empirical Process AISTATS 2011
Risk Bounds for Levy Processes in the PAC-Learning Framework AISTATS 2010
Simple Exponential Family PCA AISTATS 2010
Manifold Regularization for SIR with Rate Root-n Convergence NIPS 2009