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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)

One-Shot Prompt for Language Variety Identification NAACL 2024 One-Shot Safety Alignment for Large Language Models via Optimal Dualization NeurIPS 2024 One Step Closer to Unbiased Aleatoric Uncertainty Estimation AAAI 2024 One Step Learning, One Step Review AAAI 2024 One-to-Many Communication and Compositionality in Emergent Communication EMNLP 2024 One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detection NeurIPS 2024 OneTracker: Unifying Visual Object Tracking with Foundation Models and Efficient Tuning CVPR 2024 On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion NeurIPS 2024 On Harmonizing Implicit Subpopulations ICLR 2024 On Hypothesis Transfer Learning of Functional Linear Models ICML 2024 On Large Language Models’ Hallucination with Regard to Known Facts NAACL 2024 On Leakage of Code Generation Evaluation Datasets EMNLP 2024 On Learning Discriminative Features from Synthesized Data for Self-Supervised Fine-Grained Visual Recognition ECCV 2024 On learning history-based policies for controlling Markov decision processes AISTATS 2024 On Learning to Summarize with Large Language Models as References NAACL 2024 Online Adaptation of Language Models with a Memory of Amortized Contexts NeurIPS 2024 Online Bayesian Persuasion Without a Clue NeurIPS 2024 Online Boosting Adaptive Learning under Concept Drift for Multistream Classification AAAI 2024 Online Calibrated and Conformal Prediction Improves Bayesian Optimization AISTATS 2024 Online Classification with Predictions NeurIPS 2024 Online Class-Incremental Learning for Real-World Food Image Classification WACV 2024 Online Composite Optimization Between Stochastic and Adversarial Environments NeurIPS 2024 Online Consistency of the Nearest Neighbor Rule NeurIPS 2024 Online Continual Learning for Interactive Instruction Following Agents ICLR 2024 Online Control with Adversarial Disturbance for Continuous-time Linear Systems NeurIPS 2024