Skip to content
conftrace_

Deep Learning

78,198 papers (26 classified directly here)

2
87
453
6,434
14,487
'5
'10
'15
'20
'25

Papers (including subtopics)

Distilled Decoding 1: One-step Sampling of Image Auto-regressive Models with Flow Matching ICLR 2025 Distilled Prompt Learning for Incomplete Multimodal Survival Prediction CVPR 2025 DistillHGNN: A Knowledge Distillation Approach for High-Speed Hypergraph Neural Networks ICLR 2025 Distilling Aggregated Knowledge for Weakly-Supervised Video Anomaly Detection WACV 2025 Distilling an End-to-End Voice Assistant Without Instruction Training Data ACL 2025 Distilling a speech and music encoder with task arithmetic Interspeech 2025 Distilling Cross-Modal Knowledge into Domain-Specific Retrievers for Enhanced Industrial Document Understanding EMNLP 2025 Distilling Dataset into Neural Field ICLR 2025 Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion ICCV 2025 Distilling Knowledge from Heterogeneous Architectures for Semantic Segmentation AAAI 2025 Distilling Many-Shot In-Context Learning into a Cheat Sheet EMNLP 2025 Distilling Multi-modal Large Language Models for Autonomous Driving CVPR 2025 Distilling Parallel Gradients for Fast ODE Solvers of Diffusion Models ICCV 2025 Distilling Spatially-Heterogeneous Distortion Perception for Blind Image Quality Assessment CVPR 2025 Distilling Structural Representations into Protein Sequence Models ICLR 2025 Distilling Structured Rationale from Large Language Models to Small Language Models for Abstractive Summarization AAAI 2025 Distilling the Knowledge in Data Pruning ICML 2025 DistilQwen2.5: Industrial Practices of Training Distilled Open Lightweight Language Models ACL 2025 DisTime: Distribution-based Time Representation for Video Large Language Models ICCV 2025 Distributed Cascaded Manifold Hashing Network for Compact Image Set Representation IJCAI 2025 Distributed Conformal Prediction via Message Passing ICML 2025 Distributed Parallel Gradient Stacking(DPGS): Solving Whole Slide Image Stacking Challenge in Multi-Instance Learning ICML 2025 Distributional Diffusion Models with Scoring Rules ICML 2025 Distributional Off-policy Evaluation with Bellman Residual Minimization AISTATS 2025 Distribution Backtracking Builds A Faster Convergence Trajectory for Diffusion Distillation ICLR 2025