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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)

A Bayesian Learning Algorithm for Unknown Zero-sum Stochastic Games with an Arbitrary Opponent AISTATS 2024 Abductive Ego-View Accident Video Understanding for Safe Driving Perception CVPR 2024 A Benchmark Suite for Evaluating Neural Mutual Information Estimators on Unstructured Datasets NeurIPS 2024 ABEX: Data Augmentation for Low-Resource NLU via Expanding Abstract Descriptions ACL 2024 ABLE: Personalized Disability Support with Politeness and Empathy Integration EMNLP 2024 ABM: Attention before Manipulation IJCAI 2024 A Boosting-Type Convergence Result for AdaBoost.MH with Factorized Multi-Class Classifiers NeurIPS 2024 AboutMe: Using Self-Descriptions in Webpages to Document the Effects of English Pretraining Data Filters ACL 2024 Abrupt Learning in Transformers: A Case Study on Matrix Completion NeurIPS 2024 AbsPyramid: Benchmarking the Abstraction Ability of Language Models with a Unified Entailment Graph NAACL 2024 Abstract and Explore: A Novel Behavioral Metric with Cyclic Dynamics in Reinforcement Learning AAAI 2024 Abstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification NeurIPS 2024 Abstract Reward Processes: Leveraging State Abstraction for Consistent Off-Policy Evaluation NeurIPS 2024 A/B Testing and Best-arm Identification for Linear Bandits with Robustness to Non-stationarity AISTATS 2024 A/B testing under Interference with Partial Network Information AISTATS 2024 Academics Can Contribute to Domain-Specialized Language Models EMNLP 2024 A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark CVPR 2024 ACAMDA: Improving Data Efficiency in Reinforcement Learning through Guided Counterfactual Data Augmentation AAAI 2024 A Careful Examination of Large Language Model Performance on Grade School Arithmetic NeurIPS 2024 A Causal Approach for Counterfactual Reasoning in Narratives ACL 2024 Accelerated Sampling with Stacked Restricted Boltzmann Machines ICLR 2024 Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning AAAI 2024 Accelerating Adversarially Robust Model Selection for Deep Neural Networks via Racing AAAI 2024 Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo AISTATS 2024 Accelerating Augmentation Invariance Pretraining NeurIPS 2024