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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)

Non-Equilibrium Dynamics of Hybrid Continuous-Discrete Ground-State Sampling ICLR 2025 Nonlinear Causal Discovery for Grouped Data UAI 2025 Nonlinear functional regression by functional deep neural network with kernel embedding JMLR 2025 Nonlinear Sequence Embedding by Monotone Variational Inequality ICLR 2025 Nonparametric Factor Analysis and Beyond AISTATS 2025 Non-Standard Accent TTS Support via Large Multi-Accent Frontend Pronunciation Knowledge Transfer Interspeech 2025 Non-stochastic Budgeted Online Pricing with Semi-Bandit Feedback AAAI 2025 NoPain: No-box Point Cloud Attack via Optimal Transport Singular Boundary CVPR 2025 No Pains, More Gains: Recycling Sub-Salient Patches for Efficient High-Resolution Image Recognition CVPR 2025 No-Regret Bayesian Optimization with Stochastic Observation Failures AISTATS 2025 NormAd: A Framework for Measuring the Cultural Adaptability of Large Language Models NAACL 2025 Normalize Then Propagate: Efficient Homophilous Regularization for Few-Shot Semi-Supervised Node Classification AAAI 2025 Northeastern Uni at Multilingual Counterspeech Generation: Enhancing Counter Speech Generation with LLM Alignment through Direct Preference Optimization COLING 2025 No Size Fits All: The Perils and Pitfalls of Leveraging LLMs Vary with Company Size COLING 2025 Nota AI at GenAI Detection Task 1: Unseen Language-Aware Detection System for Multilingual Machine-Generated Text COLING 2025 NotaGen: Advancing Musicality in Symbolic Music Generation with Large Language Model Training Paradigms IJCAI 2025 Not All Options Are Created Equal: Textual Option Weighting for Token-Efficient LLM-Based Knowledge Tracing EMNLP 2025 Not All Parameters Are Created Equal: Smart Isolation Boosts Fine-Tuning Performance EMNLP 2025 Not All Terms Matter: Recall-Oriented Adaptive Learning for PLM-aided Query Expansion in Open-Domain Question Answering ACL 2025 Not Every Token Needs Forgetting: Selective Unlearning Balancing Forgetting and Utility in Large Language Models EMNLP 2025 Not Just a Piece of Cake: Cross-Lingual Fine-Tuning for Idiom Identification IJCNLP 2025 Not-Just-Scaling Laws: Towards a Better Understanding of the Downstream Impact of Language Model Design Decisions EMNLP 2025 Not Lost After All: How Cross-Encoder Attribution Challenges Position Bias Assumptions in LLM Summarization EMNLP 2025 Not quite Sherlock Holmes: Language model predictions do not reliably differentiate impossible from improbable events ACL 2025 Not What the Doctor Ordered: Surveying LLM-based De-identification and Quantifying Clinical Information Loss EMNLP 2025