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Techniques

36 directly classified papers

Subtopics

Model Architecture (4351) Pretraining (2471) Attention (1084) Knowledge Distillation (623) Transfer Learning (510) Contrastive Learning (403) Representation Learning (401) Normalization (341) Self-Supervised Learning (323) Fine-Tuning (262) Attention Mechanism (117) Prompt Engineering (64) Adversarial Learning (58) Data Augmentation (45) Interpretability (36) Feature Learning (11) Regularization (5)

Papers per year

Papers

Enabling Region-Specific Control via Lassos in Point-Based Colorization AAAI 2025
Wonderland_EDU@HKU at BEA 2025 Shared Task: Fine-tuning Large Language Models to Evaluate the Pedagogical Ability of AI-powered Tutors ACL 2025
Failure Cases Are Better Learned But Boundary Says Sorry: Facilitating Smooth Perception Change for Accuracy-Robustness Trade-Off in Adversarial Training ICCV 2025
BlinkTrack: Feature Tracking over 80 FPS via Events and Images ICCV 2025
CAVIS: Context-Aware Video Instance Segmentation ICCV 2025
Joint Asymmetric Loss for Learning with Noisy Labels ICCV 2025
Unsupervised Joint Learning of Optical Flow and Intensity with Event Cameras ICCV 2025
Intra-modal and Cross-modal Synchronization for Audio-visual Deepfake Detection and Temporal Localization ICCV 2025
YOLO-Count: Differentiable Object Counting for Text-to-Image Generation ICCV 2025
Scaling Tumor Segmentation: Best Lessons from Real and Synthetic Data ICCV 2025
MH-LVC: Multi-Hypothesis Temporal Prediction for Learned Conditional Residual Video Coding ICCV 2025
Private Memorization Editing: Turning Memorization into a Defense to Strengthen Data Privacy in Large Language Models ACL 2025
Neuron-Level Sequential Editing for Large Language Models ACL 2025
Noise-Aware Image Captioning with Progressively Exploring Mismatched Words AAAI 2024
A Geometry Loss Combination for 3D Human Pose Estimation WACV 2024
Robust Object Detection in Challenging Weather Conditions WACV 2024
Learning Temporal Resolution in Spectrogram for Audio Classification AAAI 2024
A Separation and Alignment Framework for Black-Box Domain Adaptation AAAI 2024
Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection CVPR 2023
A Noise-Tolerant Differentiable Learning Approach for Single Occurrence Regular Expression with Interleaving AAAI 2023
Enhancing Deformable Local Features by Jointly Learning To Detect and Describe Keypoints CVPR 2023
DeAR: A Deep-Learning-Based Audio Re-recording Resilient Watermarking AAAI 2023
Type-enriched Hierarchical Contrastive Strategy for Fine-Grained Entity Typing COLING 2022
Physics-penalised Regularisation for Learning Dynamics Models with Contact L4DC 2021
Better Aggregation in Test-Time Augmentation ICCV 2021