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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)

Fair Representation Learning with Unreliable Labels AISTATS 2023 Fair yet Asymptotically Equal Collaborative Learning ICML 2023 Faithful Heteroscedastic Regression with Neural Networks AISTATS 2023 Faithful Low-Resource Data-to-Text Generation through Cycle Training ACL 2023 Faith-Shap: The Faithful Shapley Interaction Index JMLR 2023 Fake It Until You Make It : Towards Accurate Near-Distribution Novelty Detection ICLR 2023 FakeSV: A Multimodal Benchmark with Rich Social Context for Fake News Detection on Short Video Platforms AAAI 2023 Fake the Real: Backdoor Attack on Deep Speech Classification via Voice Conversion Interspeech 2023 Faking Fake News for Real Fake News Detection: Propaganda-Loaded Training Data Generation ACL 2023 FaLA: Fast Linear Adaptation for Replacing Backbone Models on Edge Devices EMNLP 2023 False Discovery Proportion control for aggregated Knockoffs NeurIPS 2023 Falsification of Internal and External Validity in Observational Studies via Conditional Moment Restrictions AISTATS 2023 FaMeSumm: Investigating and Improving Faithfulness of Medical Summarization EMNLP 2023 FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks CVPR 2023 Fantastic Robustness Measures: The Secrets of Robust Generalization NeurIPS 2023 Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale Learning ICML 2023 Fast Adversarial Training with Smooth Convergence ICCV 2023 FAST: a Fused and Accurate Shrinkage Tree for Heterogeneous Treatment Effects Estimation NeurIPS 2023 Fast and Efficient Multilingual Self-Supervised Pre-training for Low-Resource Speech Recognition Interspeech 2023 Fast and Regret Optimal Best Arm Identification: Fundamental Limits and Low-Complexity Algorithms NeurIPS 2023 Fast Bellman Updates for Wasserstein Distributionally Robust MDPs NeurIPS 2023 Fast Contextual Scene Graph Generation With Unbiased Context Augmentation CVPR 2023 Fast Enrollable Streaming Keyword Spotting System: Training and Inference using a Web Browser Interspeech 2023 Faster Relative Entropy Coding with Greedy Rejection Coding NeurIPS 2023 Fast Offline Policy Optimization for Large Scale Recommendation AAAI 2023