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Learning Types

32,670 papers (1 classified directly here)

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)
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Papers (including subtopics)

Towards Harmless Rawlsian Fairness Regardless of Demographic Prior NeurIPS 2024 Towards Holistic, Pragmatic and Multimodal Conversational Systems AAAI 2024 Towards Injecting Medical Visual Knowledge into Multimodal LLMs at Scale EMNLP 2024 Towards Language-Driven Video Inpainting via Multimodal Large Language Models CVPR 2024 Towards Large Certified Radius in Randomized Smoothing Using Quasiconcave Optimization AAAI 2024 Towards Large-scale 3D Representation Learning with Multi-dataset Point Prompt Training CVPR 2024 Towards Learning Group-Equivariant Features for Domain Adaptive 3D Detection NeurIPS 2024 Towards Low-Resource Harmful Meme Detection with LMM Agents EMNLP 2024 Towards Model Extraction Attacks in GAN-Based Image Translation via Domain Shift Mitigation AAAI 2024 Towards Modern Image Manipulation Localization: A Large-Scale Dataset and Novel Methods CVPR 2024 Towards More Faithful Natural Language Explanation Using Multi-Level Contrastive Learning in VQA AAAI 2024 Towards More Unified In-context Visual Understanding CVPR 2024 Towards Multi-modal Sarcasm Detection via Disentangled Multi-grained Multi-modal Distilling COLING 2024 Towards Neuro-Symbolic Video Understanding ECCV 2024 Towards Open-Vocabulary Semantic Segmentation Without Semantic Labels NeurIPS 2024 Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection ICLR 2024 Towards Pareto-Efficient RLHF: Paying Attention to a Few High-Reward Samples with Reward Dropout EMNLP 2024 Towards Precise Localization of Critical Errors in Machine Translation ACL 2024 Towards Progressive Multi-Frequency Representation for Image Warping CVPR 2024 Towards Real-World HDR Video Reconstruction: A Large-Scale Benchmark Dataset and A Two-Stage Alignment Network CVPR 2024 Towards Real-World Test-Time Adaptation: Tri-net Self-Training with Balanced Normalization AAAI 2024 Towards Representation Learning for Weighting Problems in Design-Based Causal Inference UAI 2024 Towards Robust 3D Pose Transfer with Adversarial Learning CVPR 2024 Towards Robust Event-guided Low-Light Image Enhancement: A Large-Scale Real-World Event-Image Dataset and Novel Approach CVPR 2024 Towards Robust Multimodal Sentiment Analysis with Incomplete Data NeurIPS 2024