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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)

Accelerating Diffusion Models for Inverse Problems through Shortcut Sampling IJCAI 2024 Accelerating Pre-training of Multimodal LLMs via Chain-of-Sight NeurIPS 2024 AccentFold: A Journey through African Accents for Zero-Shot ASR Adaptation to Target Accents EACL 2024 ACCEPT: Adaptive Codebook for Composite and Efficient Prompt Tuning EMNLP 2024 Accept the Modality Gap: An Exploration in the Hyperbolic Space CVPR 2024 Accurate and Data-Efficient Toxicity Prediction when Annotators Disagree EMNLP 2024 Accurate and Steady Inertial Pose Estimation through Sequence Structure Learning and Modulation NeurIPS 2024 Accurate Forgetting for Heterogeneous Federated Continual Learning ICLR 2024 ACES: Generating a Diversity of Challenging Programming Puzzles with Autotelic Generative Models NeurIPS 2024 A Chain-of-Thought Prompting Approach with LLMs for Evaluating Students’ Formative Assessment Responses in Science AAAI 2024 Achievable distributional robustness when the robust risk is only partially identified NeurIPS 2024 Achieving Õ(1/ε) Sample Complexity for Constrained Markov Decision Process NeurIPS 2024 Achieving Domain-Independent Certified Robustness via Knowledge Continuity NeurIPS 2024 Achieving Fairness through Separability: A Unified Framework for Fair Representation Learning AISTATS 2024 Achieving Group Distributional Robustness and Minimax Group Fairness with Interpolating Classifiers AISTATS 2024 Achieving Human Parity in Content-Grounded Datasets Generation ICLR 2024 Achieving Stronger Generation via Simple Contrastive Tuning EMNLP 2024 Achieving Tractable Minimax Optimal Regret in Average Reward MDPs NeurIPS 2024 Achilles-Bench: A Challenging Benchmark for Low-Resource Evaluation ACL 2024 A Classification-Guided Approach for Adversarial Attacks against Neural Machine Translation EACL 2024 A Closer Look at Claim Decomposition NAACL 2024 A Closer Look at Curriculum Adversarial Training: From an Online Perspective AAAI 2024 A Closer Look at the CLS Token for Cross-Domain Few-Shot Learning NeurIPS 2024 A Closer Look at the Limitations of Instruction Tuning ICML 2024 A Coarse-to-Fine Prototype Learning Approach for Multi-Label Few-Shot Intent Detection EMNLP 2024