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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)

Enhancing Reinforcement Learning with Dense Rewards from Language Model Critic EMNLP 2024 Enhancing Robustness in Deep Reinforcement Learning: A Lyapunov Exponent Approach NeurIPS 2024 Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning NeurIPS 2024 Enhancing Self-Attention via Knowledge Fusion: Deriving Sentiment Lexical Attention from Semantic-Polarity Scores NAACL 2024 Enhancing Short-Text Topic Modeling with LLM-Driven Context Expansion and Prefix-Tuned VAEs EMNLP 2024 Enhancing Systematic Decompositional Natural Language Inference Using Informal Logic EMNLP 2024 Enhancing the Power of OOD Detection via Sample-Aware Model Selection CVPR 2024 Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms AAAI 2024 Enhancing Tool Retrieval with Iterative Feedback from Large Language Models EMNLP 2024 Enhancing Trajectory Prediction through Self-Supervised Waypoint Distortion Prediction ICML 2024 Enhancing Vision-Language Pre-training with Rich Supervisions CVPR 2024 Enhancing Visual Continual Learning with Language-Guided Supervision CVPR 2024 Enhancing Zero-Shot Multi-Speaker TTS with Negated Speaker Representations AAAI 2024 EnOF-SNN: Training Accurate Spiking Neural Networks via Enhancing the Output Feature NeurIPS 2024 Enriching Disentanglement: From Logical Definitions to Quantitative Metrics NeurIPS 2024 Entangled View-Epipolar Information Aggregation for Generalizable Neural Radiance Fields CVPR 2024 EntProp: High Entropy Propagation for Improving Accuracy and Robustness UAI 2024 EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models NeurIPS 2024 EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost IJCAI 2024 EPO: Hierarchical LLM Agents with Environment Preference Optimization EMNLP 2024 EPSD: Early Pruning with Self-Distillation for Efficient Model Compression AAAI 2024 EquiAV: Leveraging Equivariance for Audio-Visual Contrastive Learning ICML 2024 Equivariant Multi-Modality Image Fusion CVPR 2024 ERMVP: Communication-Efficient and Collaboration-Robust Multi-Vehicle Perception in Challenging Environments CVPR 2024 Error Analysis of Multilingual Language Models in Machine Translation: A Case Study of English-Amharic Translation EMNLP 2024