← Authors

Philip Torr

131 papers · 2007–2026 · 14 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (14) 🧭 Keyword Pioneer 🌍 Conference Polyglot (14) πŸ—ΊοΈ Taxonomy Completionist (24) 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (18) 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge 🏠 Conference Loyalist (35) 🌟 Keyword Trendsetter Combo (8) 🀝 Dynamic Duo (19) πŸ‘‘ Triple Crown 🌱 Topic Pioneer πŸ† Keyword Champion (2) πŸ† Grand Slam πŸ‘₯ Mega-Team (24) πŸ”¬ Deep Specialist (11) 🧬 Topic Evolution πŸš€ Conference Pioneer πŸ”₯ Unstoppable (13) ❓ The Questioner (10) πŸ’Ž Century Club (128) πŸ—ƒοΈ Keyword Collector (65) ⚑ Prolific Year (38) πŸ“ˆ Trend Setter

Conferences

NIPS (35) ICLR (28) ICML (16) ECCV (15) CVPR (9) EMNLP (7) ACL (5) ICCV (5) AAAI (4) AISTATS (2) WACV (2) ACML (1) MICCAI (1) UAI (1)

Top co-authors

Adel Bibi (19) Jindong Gu (18) Puneet Dokania (8) Bernard Ghanem (7) Fabio Pizzati (7) Siddharth N (6) Volker Tresp (6) Francesco Pinto (6) JoΓ£o F. Henriques (6) Yuge Shi (6)

Keywords

neural network (5) large language model (5) zero-shot learning (5) multi-agent system (4) semantic segmentation (4) representation learning (4) multimodal learning (4) diffusion model (4) safety alignment (4) convex optimization (4) self-supervised learning (3) variational autoencoder (3) video generation (3) multimodal large language model (3) computer vision (3) graphical model (3) benchmark evaluation (3) text-to-image generation (3) domain adaptation (3) catastrophic forgetting (2)

Papers

An MRP Formulation for Supervised Learning: Generalized Temporal Difference Learning Models (Abstract Reprint) AAAI 2026
Deep Research Arena: The First Exam of LLMs’ Research Abilities via Seminar-Grounded Tasks AAAI 2026
Can Editing LLMs Inject Harm? AAAI 2026
Mixture of Experts Made Intrinsically Interpretable ICML 2025
Focus On This, Not That! Steering LLMs with Adaptive Feature Specification ICML 2025
Flex3D: Feed-Forward 3D Generation with Flexible Reconstruction Model and Input View Curation ICML 2025
PoisonBench: Assessing Language Model Vulnerability to Poisoned Preference Data ICML 2025
Do as I do (Safely): Mitigating Task-Specific Fine-tuning Risks in Large Language Models ICLR 2025
Shh, don't say that! Domain Certification in LLMs ICLR 2025
Towards Certification of Uncertainty Calibration under Adversarial Attacks ICLR 2025
Towards Interpreting Visual Information Processing in Vision-Language Models ICLR 2025
Bi-Factorial Preference Optimization: Balancing Safety-Helpfulness in Language Models ICLR 2025
VMem: Consistent Interactive Video Scene Generation with Surfel-Indexed View Memory ICCV 2025
Stable Virtual Camera: Generative View Synthesis with Diffusion Models ICCV 2025
AlignGuard: Scalable Safety Alignment for Text-to-Image Generation ICCV 2025
MatchDiffusion: Training-free Generation of Match-Cuts ICCV 2025
LLM Jailbreak Detection for (Almost) Free! EMNLP 2025
Detecting LLM Hallucination Through Layer-wise Information Deficiency: Analysis of Ambiguous Prompts and Unanswerable Questions EMNLP 2025
Can an Individual Manipulate the Collective Decisions of Multi-Agents? EMNLP 2025
Reimagining Safety Alignment with An Image EMNLP 2025
Open-World Objectness Modeling Unifies Novel Object Detection CVPR 2025
FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models CVPR 2025
Video Motion Transfer with Diffusion Transformers CVPR 2025
Olympus: A Universal Task Router for Computer Vision Tasks CVPR 2025
Localizing Events in Videos with Multimodal Queries CVPR 2025
CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agents ACL 2025
Many Heads Are Better Than One: Improved Scientific Idea Generation by A LLM-Based Multi-Agent System ACL 2025
Multimodal Pragmatic Jailbreak on Text-to-image Models ACL 2025
Benchmarking Open-ended Audio Dialogue Understanding for Large Audio-Language Models ACL 2025
Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning? WACV 2025
Minimalist Concept Erasure in Generative Models ICML 2025
Position: Near to Mid-term Risks and Opportunities of Open-Source Generative AI ICML 2024
Interpreting Learned Feedback Patterns in Large Language Models NIPS 2024
Hidden in Plain Sight: Evaluating Abstract Shape Recognition in Vision-Language Models NIPS 2024
Direct3D: Scalable Image-to-3D Generation via 3D Latent Diffusion Transformer NIPS 2024
HelloFresh: LLM Evalutions on Streams of Real-World Human Editorial Actions across X Community Notes and Wikipedia edits ACL 2024
Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation CVPR 2024
CLIP as RNN: Segment Countless Visual Concepts without Training Endeavor CVPR 2024
RoDLA: Benchmarking the Robustness of Document Layout Analysis Models CVPR 2024
VFusion3D: Learning Scalable 3D Generative Models from Video Diffusion Models ECCV 2024
CAT: Enhancing Multimodal Large Language Model to Answer Questions in Dynamic Audio-Visual Scenarios ECCV 2024
GaussCtrl: Multi-View Consistent Text-Driven 3D Gaussian Splatting Editing ECCV 2024
WildVidFit: Video Virtual Try-On in the Wild via Image-Based Controlled Diffusion Models ECCV 2024
Latent Guard: a Safety Framework for Text-to-image Generation ECCV 2024
DetToolChain: A New Prompting Paradigm to Unleash Detection Ability of MLLM ECCV 2024
Placing Objects in Context via Inpainting for Out-of-distribution Segmentation ECCV 2024
On Pretraining Data Diversity for Self-Supervised Learning ECCV 2024
Improving Adversarial Transferability via Model Alignment ECCV 2024
Which Model Generated This Image? A Model-Agnostic Approach for Origin Attribution ECCV 2024
Scene-Conditional 3D Object Stylization and Composition ECCV 2024
uCAP: An Unsupervised Prompting Method for Vision-Language Models ECCV 2024
Towards Interpretable Sequence Continuation: Analyzing Shared Circuits in Large Language Models EMNLP 2024
No Culture Left Behind: ArtELingo-28, a Benchmark of WikiArt with Captions in 28 Languages EMNLP 2024
Model Merging and Safety Alignment: One Bad Model Spoils the Bunch EMNLP 2024
Illusory Attacks: Information-theoretic detectability matters in adversarial attacks ICLR 2024
Select to Perfect: Imitating desired behavior from large multi-agent data ICLR 2024
An Image Is Worth 1000 Lies: Transferability of Adversarial Images across Prompts on Vision-Language Models ICLR 2024
Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation ICLR 2024
When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations ICLR 2024
PORF: POSE RESIDUAL FIELD FOR ACCURATE NEURAL SURFACE RECONSTRUCTION ICLR 2024
Real-Fake: Effective Training Data Synthesis Through Distribution Matching ICLR 2024
Influencer Backdoor Attack on Semantic Segmentation ICLR 2024
Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images ICLR 2024
Efficient Error Certification for Physics-Informed Neural Networks ICML 2024
Prompting a Pretrained Transformer Can Be a Universal Approximator ICML 2024
Extracting Training Data From Document-Based VQA Models ICML 2024
Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation ICML 2024
Not Just Pretty Pictures: Toward Interventional Data Augmentation Using Text-to-Image Generators ICML 2024
FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging MICCAI 2024
Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models NIPS 2023
Language Model Tokenizers Introduce Unfairness Between Languages NIPS 2023
Certifying Ensembles: A General Certification Theory with S-Lipschitzness ICML 2023
IS SYNTHETIC DATA FROM GENERATIVE MODELS READY FOR IMAGE RECOGNITION? ICLR 2023
OxfordTVG-HIC: Can Machine Make Humorous Captions from Images? ICCV 2023
Graph Inductive Biases in Transformers without Message Passing ICML 2023
How robust is unsupervised representation learning to distribution shift? ICLR 2023
Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning ICLR 2023
ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation NIPS 2023
Revisiting Evaluation Metrics for Semantic Segmentation: Optimization and Evaluation of Fine-grained Intersection over Union NIPS 2023
Learning Multimodal VAEs through Mutual Supervision ICLR 2022
Gradient Matching for Domain Generalization ICLR 2022
Structure-Preserving 3D Garment Modeling with Neural Sewing Machines NIPS 2022
Learn what matters: cross-domain imitation learning with task-relevant embeddings NIPS 2022
FedSR: A Simple and Effective Domain Generalization Method for Federated Learning NIPS 2022
Make Some Noise: Reliable and Efficient Single-Step Adversarial Training NIPS 2022
Amortized Rejection Sampling in Universal Probabilistic Programming AISTATS 2022
Using Mixup as a Regularizer Can Surprisingly Improve Accuracy & Out-of-Distribution Robustness NIPS 2022
Communicating via Markov Decision Processes ICML 2022
Adversarial Masking for Self-Supervised Learning ICML 2022
KL Guided Domain Adaptation ICLR 2022
Progressive Skeletonization: Trimming more fat from a network at initialization ICLR 2021
You Never Cluster Alone NIPS 2021
A Continuous Mapping For Augmentation Design NIPS 2021
FACMAC: Factored Multi-Agent Centralised Policy Gradients NIPS 2021
Overcoming the Convex Barrier for Simplex Inputs NIPS 2021
Looking Beyond Single Images for Contrastive Semantic Segmentation Learning NIPS 2021
Do Different Tracking Tasks Require Different Appearance Models? NIPS 2021
Capturing Label Characteristics in VAEs ICLR 2021
Relating by Contrasting: A Data-efficient Framework for Multimodal Generative Models ICLR 2021
Understanding the effects of data parallelism and sparsity on neural network training ICLR 2021
Scaling the Convex Barrier with Active Sets ICLR 2021
How Benign is Benign Overfitting ? ICLR 2021
Using Hindsight to Anchor Past Knowledge in Continual Learning AAAI 2021
Mirror Descent View for Neural Network Quantization AISTATS 2021
Lagrangian Decomposition for Neural Network Verification UAI 2020
Domain-invariant Stereo Matching Networks ECCV 2020
Many-shot from Low-shot: Learning to Annotate using Mixed Supervision for Object Detection ECCV 2020
Box2Seg: Attention Weighted Loss and Discriminative Feature Learning for Weakly Supervised Segmentation ECCV 2020
STEER : Simple Temporal Regularization For Neural ODE NIPS 2020
Continual Learning in Low-rank Orthogonal Subspaces NIPS 2020
Calibrating Deep Neural Networks using Focal Loss NIPS 2020
Lightweight Generative Adversarial Networks for Text-Guided Image Manipulation NIPS 2020
Devon: Deformable Volume Network for Learning Optical Flow WACV 2020
Multi-Agent Common Knowledge Reinforcement Learning NIPS 2019
Controllable Text-to-Image Generation NIPS 2019
SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY ICLR 2019
Meta-learning with differentiable closed-form solvers ICLR 2019
Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models NIPS 2019
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model NIPS 2019
A Unified View of Piecewise Linear Neural Network Verification NIPS 2018
Deep Fully-Connected Part-Based Models for Human Pose Estimation ACML 2018
With Friends Like These, Who Needs Adversaries? NIPS 2018
Learning Disentangled Representations with Semi-Supervised Deep Generative Models NIPS 2017
Learning feed-forward one-shot learners NIPS 2016
Adaptive Neural Compilation NIPS 2016
An embarrassingly simple approach to zero-shot learning ICML 2015
BING: Binarized Normed Gradients for Objectness Estimation at 300fps CVPR 2014
Higher Order Priors for Joint Intrinsic Image, Objects, and Attributes Estimation NIPS 2013
Learning Anchor Planes for Classification NIPS 2011
Improved Moves for Truncated Convex Models NIPS 2008
An Analysis of Convex Relaxations for MAP Estimation NIPS 2007