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Learning Types

56,253 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

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Papers (including subtopics)

AdamR at SemEval-2023 Task 10: Solving the Class Imbalance Problem in Sexism Detection with Ensemble Learning SemEval 2023 Adapt and Decompose: Efficient Generalization of Text-to-SQL via Domain Adapted Least-To-Most Prompting EMNLP 2023 Adaptation Approaches for Nearest Neighbor Language Models ACL 2023 Adaptation Augmented Model-based Policy Optimization JMLR 2023 Adaptation of Whisper models to child speech recognition Interspeech 2023 Adaptation to Misspecified Kernel Regularity in Kernelised Bandits AISTATS 2023 Adaptation to the Range in K-Armed Bandits JMLR 2023 Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs EMNLP 2023 AdapterDistillation: Non-Destructive Task Composition with Knowledge Distillation EMNLP 2023 Adapter Incremental Continual Learning of Efficient Audio Spectrogram Transformers Interspeech 2023 Adapt in Contexts: Retrieval-Augmented Domain Adaptation via In-Context Learning EMNLP 2023 Adapting a ConvNeXt Model to Audio Classification on AudioSet Interspeech 2023 Adapting an Unadaptable ASR System Interspeech 2023 Adapting Language-Audio Models as Few-Shot Audio Learners Interspeech 2023 Adapting Multi-Lingual ASR Models for Handling Multiple Talkers Interspeech 2023 Adapting Object Size Variance and Class Imbalance for Semi-supervised Object Detection AAAI 2023 Adapting Shortcut With Normalizing Flow: An Efficient Tuning Framework for Visual Recognition CVPR 2023 Adapting to Continuous Covariate Shift via Online Density Ratio Estimation NeurIPS 2023 Adaptive Algorithms for Relaxed Pareto Set Identification NeurIPS 2023 Adaptive Barrier Smoothing for First-Order Policy Gradient with Contact Dynamics ICML 2023 Adaptive Compositional Continual Meta-Learning ICML 2023 Adaptive Computation with Elastic Input Sequence ICML 2023 Adaptive Contrastive Knowledge Distillation for BERT Compression ACL 2023 Adaptive Coordination in Social Embodied Rearrangement ICML 2023 Adaptive Data Depth via Multi-Armed Bandits JMLR 2023