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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)

ASR Confidence Estimation using True Class Lexical Similarity Score Interspeech 2025 ASR-EC Benchmark: Evaluating Large Language Models on Chinese ASR Error Correction EMNLP 2025 ASR-FAIRBENCH: Measuring and Benchmarking Equity Across Speech Recognition Systems Interspeech 2025 Assay2Mol: Large Language Model-based Drug Design Using BioAssay Context EMNLP 2025 Assessing Crowdsourced Annotations with LLMs: Linguistic Certainty as a Proxy for Trustworthiness NAACL 2025 Assessing Dialect Fairness and Robustness of Large Language Models in Reasoning Tasks ACL 2025 Assessing LLMs for Zero-shot Abstractive Summarization Through the Lens of Relevance Paraphrasing NAACL 2025 Assessing Pre-Trained Models for Transfer Learning Through Distribution of Spectral Components AAAI 2025 Assessing the Limits of In-Context Learning beyond Functions using Partially Ordered Relation IJCNLP 2025 Assessing the Reliability and Validity of GPT-4 in Annotating Emotion Appraisal Ratings NAACL 2025 Assessing the Sensitivity and Alignment of FOL Closeness Metrics EMNLP 2025 Assessing Visually-Continuous Corruption Robustness of Neural Networks Relative to Human Performance WACV 2025 Asset Pricing with Contrastive Adversarial Variational Bayes IJCAI 2025 Assignment of account type to proto-cuneiform economic texts with Multi-Class Support Vector Machines NAACL 2025 Assimilation and Accommodation: Task-Adaptive Hierarchical Abstraction for Solving Web Tasks ACL 2025 As Simple as Fine-tuning: LLM Alignment via Bidirectional Negative Feedback Loss ICLR 2025 AssoCiAm: A Benchmark for Evaluating Association Thinking while Circumventing Ambiguity EMNLP 2025 Association Pattern-enhanced Molecular Representation Learning AAAI 2025 Assumed Identities: Quantifying Gender Bias in Machine Translation of Gender-Ambiguous Occupational Terms EMNLP 2025 A Statistical and Multi-Perspective Revisiting of the Membership Inference Attack in Large Language Models ACL 2025 A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning AAAI 2025 ASTPrompter: Preference-Aligned Automated Language Model Red-Teaming to Generate Low-Perplexity Unsafe Prompts EMNLP 2025 ASTrA: Adversarial Self-supervised Training with Adaptive-Attacks ICLR 2025 Astra: Efficient Transformer Architecture and Contrastive Dynamics Learning for Embodied Instruction Following EMNLP 2025 A Strategic Coordination Framework of Small LMs Matches Large LMs in Data Synthesis ACL 2025