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Learning Types

56,253 papers (3 classified directly here)

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)
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Papers (including subtopics)

Learn to Rectify the Bias of CLIP for Unsupervised Semantic Segmentation CVPR 2024 Learn to Refuse: Making Large Language Models More Controllable and Reliable through Knowledge Scope Limitation and Refusal Mechanism EMNLP 2024 Learn To Unlearn for Deep Neural Networks: Minimizing Unlearning Interference With Gradient Projection WACV 2024 LEDetection: A Simple Framework for Semi-Supervised Few-Shot Object Detection AISTATS 2024 LeDex: Training LLMs to Better Self-Debug and Explain Code NeurIPS 2024 Leftover Lunch: Advantage-based Offline Reinforcement Learning for Language Models ICLR 2024 LEGOBench: Scientific Leaderboard Generation Benchmark EMNLP 2024 LEIA: Facilitating Cross-lingual Knowledge Transfer in Language Models with Entity-based Data Augmentation ACL 2024 Leitner-Guided Memory Replay for Cross-lingual Continual Learning NAACL 2024 LEMoE: Advanced Mixture of Experts Adaptor for Lifelong Model Editing of Large Language Models EMNLP 2024 LEMON: Learning 3D Human-Object Interaction Relation from 2D Images CVPR 2024 LEOD: Label-Efficient Object Detection for Event Cameras CVPR 2024 Less Is More: Label Recommendation for Weakly Supervised Point Cloud Semantic Segmentation AAAI 2024 Less is More: Parameter-Efficient Selection of Intermediate Tasks for Transfer Learning EMNLP 2024 Less is More: Pre-Training Cross-Lingual Small-Scale Language Models with Cognitively-Plausible Curriculum Learning Strategies CoNLL 2024 LESS: Label-Efficient and Single-Stage Referring 3D Segmentation NeurIPS 2024 Let Go of Your Labels with Unsupervised Transfer ICML 2024 Let Me Teach You: Pedagogical Foundations of Feedback for Language Models EMNLP 2024 Let’s Negotiate! A Survey of Negotiation Dialogue Systems EACL 2024 Let’s Start Over: Retraining with Selective Samples for Generalized Category Discovery IJCAI 2024 Let's Verify Step by Step ICLR 2024 Let the Avatar Talk using Texts without Paired Training Data ECCV 2024 Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language Models EMNLP 2024 Let There Be Sound: Reconstructing High Quality Speech from Silent Videos AAAI 2024 Letting 3D Guide the Way: 3D Guided 2D Few-Shot Image Classification WACV 2024