Deep Learning

ReverB-SNN: Reversing Bit of the Weight and Activation for Spiking Neural Networks ICML 2025 Reverse Convolution and Its Applications to Image Restoration ICCV 2025 Reversed Attention: On The Gradient Descent Of Attention Layers In GPT NAACL 2025 Reverse Distribution Based Video Moment Retrieval for Effective Bias Elimination AAAI 2025 Reverse Probing: Evaluating Knowledge Transfer via Finetuned Task Embeddings for Coreference Resolution NAACL 2025 Reverse Region-to-Entity Annotation for Pixel-Level Visual Entity Linking AAAI 2025 Reversible Disentanglement of Meaning and Language Representations from Multilingual Sentence Encoders EMNLP 2025 Reversing Flow for Image Restoration CVPR 2025 Reversing the Damage: A QP-Aware Transformer-Diffusion Approach for 8K Video Restoration under Codec Compression WACV 2025 ReVision: A Dataset and Baseline VLM for Privacy-Preserving Task-Oriented Visual Instruction Rewriting IJCNLP 2025 Revisiting Attention for Multivariate Time Series Forecasting AAAI 2025 Revisiting Audio-Visual Segmentation with Vision-Centric Transformer CVPR 2025 Revisiting Backdoor Attacks against Large Vision-Language Models from Domain Shift CVPR 2025 Revisiting CAD Model Generation by Learning Raster Sketch AAAI 2025 Revisiting Compositional Generalization Capability of Large Language Models Considering Instruction Following Ability ACL 2025 Revisiting Continuity of Image Tokens for Cross-domain Few-shot Learning ICML 2025 Revisiting Deep Archetypal Analysis for Phenotype Discovery in High Content Imaging WACV 2025 Revisiting Diffusion Models: From Generative Pre-training to One-Step Generation ICML 2025 Revisiting Disparity from Dual-Pixel Images: Physics-Informed Lightweight Depth Estimation WACV 2025 Revisiting Efficient Semantic Segmentation: Learning Offsets for Better Spatial and Class Feature Alignment ICCV 2025 Revisiting Generative Replay for Class Incremental Object Detection CVPR 2025 Revisiting Gradient Normalization and Clipping for Nonconvex SGD under Heavy-Tailed Noise: Necessity, Sufficiency, and Acceleration JMLR 2025 Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective AAAI 2025 Revisiting Image Fusion for Multi-Illuminant White-Balance Correction ICCV 2025 Revisiting In-Context Learning with Long Context Language Models ACL 2025