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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 Picture of the Space of Typical Learnable Tasks ICML 2023 A Pilot Study on Dialogue-Level Dependency Parsing for Chinese ACL 2023 A polar prediction model for learning to represent visual transformations NeurIPS 2023 APOLLO: A Simple Approach for Adaptive Pretraining of Language Models for Logical Reasoning ACL 2023 APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection EMNLP 2023 Application of Knowledge Distillation to Multi-Task Speech Representation Learning Interspeech 2023 Applied Online Algorithms with Heterogeneous Predictors ICML 2023 Appraising the Potential Uses and Harms of LLMs for Medical Systematic Reviews EMNLP 2023 Approximate Causal Effect Identification under Weak Confounding ICML 2023 Approximately Bayes-optimal pseudo-label selection UAI 2023 Approximately Stationary Bandits with Knapsacks COLT 2023 Approximate Regions of Attraction in Learning with Decision-Dependent Distributions AISTATS 2023 Approximating Full Conformal Prediction at Scale via Influence Functions AAAI 2023 A Pragmatic Look at Deep Imitation Learning ACML 2023 A Probabilistic Framework for Discovering New Intents ACL 2023 A Probabilistic Framework for Lifelong Test-Time Adaptation CVPR 2023 AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approach ACL 2023 A Query-Parallel Machine Reading Comprehension Framework for Low-resource NER EMNLP 2023 AR2-D2: Training a Robot Without a Robot CoRL 2023 Arabic dialect identification: An in-depth error analysis on the MADAR parallel corpus EMNLP 2023 Arabic Dialect Identification under Scrutiny: Limitations of Single-label Classification EMNLP 2023 Arabic Dysarthric Speech Recognition Using Adversarial and Signal-Based Augmentation Interspeech 2023 Arabic Mini-ClimateGPT : A Climate Change and Sustainability Tailored Arabic LLM EMNLP 2023 Arabic Topic Classification in the Generative and AutoML Era EMNLP 2023 Architectural Backdoors in Neural Networks CVPR 2023