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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)

Adaptive Prototype Replay for Class Incremental Semantic Segmentation AAAI 2025 Adaptive Retention & Correction: Test-Time Training for Continual Learning ICLR 2025 Adaptive Reward Design for Reinforcement Learning UAI 2025 Adaptive Sampling to Reduce Epistemic Uncertainty Using Prediction Interval-Generation Neural Networks AAAI 2025 Adaptive Siamese Masked Autoencoder with Global Optimization for Unsupervised Point Cloud Shape Correspondence AAAI 2025 Adaptive teachers for amortized samplers ICLR 2025 Adaptive Threshold Sampling for Pure Exploration in Submodular Bandits UAI 2025 Adapt Once, Thrive with Updates: Transferable Parameter-Efficient Fine-Tuning on Evolving Base Models ACL 2025 AdaSteer: Your Aligned LLM is Inherently an Adaptive Jailbreak Defender EMNLP 2025 A Dataset for Programming-based Instructional Video Classification and Question Answering COLING 2025 A Dataset of Ancient Chinese Math Word Problems and an Application for Research in Historic Mathematics NAACL 2025 AdaWorld: Learning Adaptable World Models with Latent Actions ICML 2025 ADBA: Approximation Decision Boundary Approach for Black-Box Adversarial Attacks AAAI 2025 ADBM: Adversarial Diffusion Bridge Model for Reliable Adversarial Purification ICLR 2025 Adding Conditional Control to Diffusion Models with Reinforcement Learning ICLR 2025 Add Noise, Tasks, or Layers? MaiNLP at the VarDial 2025 Shared Task on Norwegian Dialectal Slot and Intent Detection COLING 2025 Add-One-In: Incremental Sample Selection for Large Language Models via a Choice-Based Greedy Paradigm EMNLP 2025 Addressing Cold-Start Problem in Click-Through Rate Prediction via Supervised Diffusion Modeling AAAI 2025 Addressing Hallucination in Causal Q&A: The Efficacy of Fine-tuning over Prompting in LLMs COLING 2025 Addressing Label Shift in Distributed Learning via Entropy Regularization​ ICLR 2025 Addressing Multi-Label Learning with Partial Labels: From Sample Selection to Label Selection AAAI 2025 Addressing Representation Collapse in Vector Quantized Models with One Linear Layer ICCV 2025 Addressing the Training-Inference Discrepancy in Discrete Diffusion for Text Generation COLING 2025 A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation AAAI 2025 A Denoising Pre-training Framework for Accelerating Novel Material Discovery AAAI 2025