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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)

MVReward: Better Aligning and Evaluating Multi-View Diffusion Models with Human Preferences AAAI 2025 MVSAnywhere: Zero-Shot Multi-View Stereo CVPR 2025 MWPO: Enhancing LLMs Performance through Multi-Weight Preference Strength and Length Optimization ACL 2025 MysticCIOL@DravidianLangTech 2025: A Hybrid Framework for Sentiment Analysis in Tamil and Tulu Using Fine-Tuned SBERT Embeddings and Custom MLP Architectures NAACL 2025 NaFV-Net: An Adversarial Four-view Network for Mammogram Classification AAAI 2025 Named Entity Inference Attacks on Clinical LLMs: Exploring Privacy Risks and the Impact of Mitigation Strategies NAACL 2025 Named Entity Recognition for the Irish Language NAACL 2025 NAM-to-Speech Conversion with Multitask-Enhanced Autoregressive Models Interspeech 2025 NAP2: A Benchmark for Naturalness and Privacy-Preserving Text Rewriting by Learning from Human EMNLP 2025 NAPI-MPC: Neural Accelerated Physics-Informed MPC for Nonlinear PDE Systems L4DC 2025 NAPPure: Adversarial Purification for Robust Image Classification under Non-Additive Perturbations ICCV 2025 NarraDetect: An annotated dataset for the task of narrative detection NAACL 2025 NarratEX Dataset: Explaining the Dominant Narratives in News Texts EMNLP 2025 Narrative Media Framing in Political Discourse ACL 2025 Narrative Studio: Visual narrative exploration using LLMs and Monte Carlo Tree Search NAACL 2025 Narrowing the Gap between Adversarial and Stochastic MDPs via Policy Optimization AISTATS 2025 Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention ACL 2025 NAT: Learning to Attack Neurons for Enhanced Adversarial Transferability WACV 2025 NATRA: Noise-Agnostic Framework for Trajectory Prediction with Noisy Observations ICCV 2025 Natural Language Inference Fine-tuning for Scientific Hallucination Detection ACL 2025 Natural Language Understanding of Devanagari Script Languages: Language Identification, Hate Speech and its Target Detection COLING 2025 Natural Logic at the Core: Dynamic Rewards for Entailment Tree Generation ACL 2025 NatureLM-audio: an Audio-Language Foundation Model for Bioacoustics ICLR 2025 NAVER LABS Europe Submission to the Instruction-following Track ACL 2025 Navigating Label Ambiguity for Facial Expression Recognition in the Wild AAAI 2025