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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)

Into The Limits of Logic: Alignment Methods for Formal Logical Reasoning EMNLP 2025 Intra-modal and Cross-modal Synchronization for Audio-visual Deepfake Detection and Temporal Localization ICCV 2025 Intra-view and Inter-view Correlation Guided Multi-view Novel Class Discovery ICCV 2025 Intrinsic Dimension Correlation: uncovering nonlinear connections in multimodal representations ICLR 2025 Intrinsic Image Decomposition for Robust Self-supervised Monocular Depth Estimation on Reflective Surfaces AAAI 2025 Intrinsic Test of Unlearning Using Parametric Knowledge Traces EMNLP 2025 Introducing Verification Task of Set Consistency with Set-Consistency Energy Networks ACL 2025 Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single Process ACL 2025 InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct AAAI 2025 Inverse Reinforcement Learning by Estimating Expertise of Demonstrators AAAI 2025 Inversion Circle Interpolation: Diffusion-based Image Augmentation for Data-scarce Classification CVPR 2025 InvestAlign: Overcoming Data Scarcity in Aligning Large Language Models with Investor Decision-Making Processes Under Herd Behavior ACL 2025 Investigating Adapters for Parameter-efficient Low-resource Automatic Speech Recognition NAACL 2025 Investigating and Addressing Hallucinations of LLMs in Tasks Involving Negation NAACL 2025 Investigating Dictionary Expansion for Video-based Sign Language Dictionaries EMNLP 2025 Investigating How Pre-training Data Leakage Affects Models’ Reproduction and Detection Capabilities EMNLP 2025 Investigating Imaging Annotation and Self-Supervision for the Classification of Continuously Developing Cells in Histological Whole Slide Images WACV 2025 Investigating Language Preference of Multilingual RAG Systems ACL 2025 Investigating Relational State Abstraction in Collaborative MARL AAAI 2025 Investigating the effectiveness of length based rewards in DPO for building Conversational Financial Question Answering Systems COLING 2025 Investigating the Effect of Backtranslation for Indic Languages COLING 2025 Investigating the Impact of Language-Adaptive Fine-Tuning on Sentiment Analysis in Hausa Language Using AfriBERTa COLING 2025 Investigating the Robustness of Retrieval-Augmented Generation at the Query Level ACL 2025 Investigating the Shortcomings of LLMs in Step-by-Step Legal Reasoning NAACL 2025 Investigating the Transferability of Code Repair for Low-Resource Programming Languages NAACL 2025