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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)

The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMs ACL 2025 The American Sign Language Knowledge Graph: Infusing ASL Models with Linguistic Knowledge NAACL 2025 The AraGenEval Shared Task on Arabic Authorship Style Transfer and AI Generated Text Detection EMNLP 2025 The Bandit Whisperer: Communication Learning for Restless Bandits AAAI 2025 The Brain’s Bitter Lesson: Scaling Speech Decoding With Self-Supervised Learning ICML 2025 The Change You Want To Detect: Semantic Change Detection In Earth Observation With Hybrid Data Generationf CVPR 2025 The Complexity of Sequential Prediction in Dynamical Systems L4DC 2025 The Consistent Lack of Variance of Psychological Factors Expressed by LLMs and Spambots COLING 2025 The contribution of LLMs to relation extraction in the economic field COLING 2025 The cost of local and global fairness in Federated Learning AISTATS 2025 The Cost Perspective of Liquid Democracy: Feasibility and Control AAAI 2025 The Cross-Lingual Cost: Retrieval Biases in RAG over Arabic-English Corpora EMNLP 2025 The Cross-linguistic Role of Animacy in Grammar Structures ACL 2025 The Dangers of Indirect Prompt Injection Attacks on LLM-based Autonomous Web Navigation Agents: A Demonstration EMNLP 2025 The Development of Hebrew in Antiquity – A Computational Linguistic Study NAACL 2025 The Devil is in Fine-tuning and Long-tailed Problems: A New Benchmark for Scene Text Detection IJCAI 2025 The Devil Is in the Word Alignment Details: On Translation-Based Cross-Lingual Transfer for Token Classification Tasks ACL 2025 The Distracting Effect: Understanding Irrelevant Passages in RAG ACL 2025 The Distributional Reward Critic Framework for Reinforcement Learning Under Perturbed Rewards AAAI 2025 The Dynamic Duo of Collaborative Masking and Target for Advanced Masked Autoencoder Learning AAAI 2025 The Effectiveness of Curvature-Based Rewiring and the Role of Hyperparameters in GNNs Revisited ICLR 2025 The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning JMLR 2025 The Emperor’s New Reasoning: Format Imitation Overshadows Genuine Mathematical Understanding in SFT EMNLP 2025 The (Exact) Price of Cardinality for Indivisible Goods: A Parametric Perspective AAAI 2025 The Fellowship of the LLMs: Multi-Model Workflows for Synthetic Preference Optimization Dataset Generation ACL 2025