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)

RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene Understanding CVPR 2024 Registered and Segmented Deformable Object Reconstruction From a Single View Point Cloud WACV 2024 REGLO: Provable Neural Network Repair for Global Robustness Properties AAAI 2024 Reg-PTQ: Regression-specialized Post-training Quantization for Fully Quantized Object Detector CVPR 2024 Regression Aware Inference with LLMs EMNLP 2024 Regressor-Segmenter Mutual Prompt Learning for Crowd Counting CVPR 2024 ReGS: Reference-based Controllable Scene Stylization with Gaussian Splatting NeurIPS 2024 Regularization and Optimal Multiclass Learning COLT 2024 Regularized Conditional Diffusion Model for Multi-Task Preference Alignment NeurIPS 2024 Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs NeurIPS 2024 Regularizing with Pseudo-Negatives for Continual Self-Supervised Learning ICML 2024 Reimagining Mutual Information for Enhanced Defense against Data Leakage in Collaborative Inference NeurIPS 2024 REINDIR: Repeated Embedding Infusion for Neural Deformable Image Registration MIDL 2024 Reinforced Adaptive Knowledge Learning for Multimodal Fake News Detection AAAI 2024 Reinforced Cross-Domain Knowledge Distillation on Time Series Data NeurIPS 2024 Reinforcement Learning-Driven LLM Agent for Automated Attacks on LLMs ACL 2024 Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers NeurIPS 2024 REInstruct: Building Instruction Data from Unlabeled Corpus ACL 2024 Re-Invoke: Tool Invocation Rewriting for Zero-Shot Tool Retrieval EMNLP 2024 Rejuvenating image-GPT as Strong Visual Representation Learners ICML 2024 Related Work Is All You Need COLING 2024 Relational Concept Bottleneck Models NeurIPS 2024 Relational DNN Verification With Cross Executional Bound Refinement ICML 2024 Relational Learning in Pre-Trained Models: A Theory from Hypergraph Recovery Perspective ICML 2024 Relational Programming with Foundational Models AAAI 2024