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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)

Data Whisperer: Efficient Data Selection for Task-Specific LLM Fine-Tuning via Few-Shot In-Context Learning ACL 2025 Data with High and Consistent Preference Difference Are Better for Reward Model AAAI 2025 DavIR: Data Selection via Implicit Reward for Large Language Models ACL 2025 DAWN-ICL: Strategic Planning of Problem-solving Trajectories for Zero-Shot In-Context Learning NAACL 2025 DCA: Dividing and Conquering Amnesia in Incremental Object Detection AAAI 2025 DCBU at GenAI Detection Task 1: Enhancing Machine-Generated Text Detection with Semantic and Probabilistic Features COLING 2025 DCG-SQL: Enhancing In-Context Learning for Text-to-SQL with Deep Contextual Schema Link Graph ACL 2025 DCILP: A Distributed Approach for Large-Scale Causal Structure Learning AAAI 2025 DCRM: A Heuristic to Measure Response Pair Quality in Preference Optimization EMNLP 2025 DCR: Quantifying Data Contamination in LLMs Evaluation EMNLP 2025 DCT-Shield: A Robust Frequency Domain Defense against Malicious Image Editing ICCV 2025 DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation ICCV 2025 DEAL: Data-Efficient Adversarial Learning for High-Quality Infrared Imaging CVPR 2025 DeAL: Decoding-time Alignment for Large Language Models ACL 2025 De-AntiFake: Rethinking the Protective Perturbations Against Voice Cloning Attacks ICML 2025 Debate4MATH: Multi-Agent Debate for Fine-Grained Reasoning in Math ACL 2025 DebateCoder: Towards Collective Intelligence of LLMs via Test Case Driven LLM Debate for Code Generation ACL 2025 Debate Helps Weak-to-Strong Generalization AAAI 2025 DEBATE, TRAIN, EVOLVE: Self‐Evolution of Language Model Reasoning EMNLP 2025 DebGCD: Debiased Learning with Distribution Guidance for Generalized Category Discovery ICLR 2025 Debiased Active Learning with Variational Gradient Rectifier AAAI 2025 Debiased All-in-one Image Restoration with Task Uncertainty Regularization AAAI 2025 Debiased Curriculum Adaptation for Safe Transfer Learning in Chest X-ray Classification ICCV 2025 Debiased Multimodal Understanding for Human Language Sequences AAAI 2025 Debiased Teacher for Day-to-Night Domain Adaptive Object Detection ICCV 2025