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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)

Language Generation via Combinatorial Constraint Satisfaction: A Tree Search Enhanced Monte-Carlo Approach EMNLP 2020 Language Generation with Multi-Hop Reasoning on Commonsense Knowledge Graph EMNLP 2020 Language ID in the Wild: Unexpected Challenges on the Path to a Thousand-Language Web Text Corpus COLING 2020 Language Modeling for Speech Analytics in Under-Resourced Languages Interspeech 2020 Language Model Prior for Low-Resource Neural Machine Translation EMNLP 2020 Language to Network: Conditional Parameter Adaptation with Natural Language Descriptions ACL 2020 Laplacian Regularized Few-Shot Learning ICML 2020 LAReQA: Language-Agnostic Answer Retrieval from a Multilingual Pool EMNLP 2020 Large-Scale Adversarial Training for Vision-and-Language Representation Learning NeurIPS 2020 Large Scale Audiovisual Learning of Sounds with Weakly Labeled Data IJCAI 2020 Large-Scale End-to-End Multilingual Speech Recognition and Language Identification with Multi-Task Learning Interspeech 2020 Large Scale Evaluation of Importance Maps in Automatic Speech Recognition Interspeech 2020 Large-Scale Methods for Distributionally Robust Optimization NeurIPS 2020 Large-Scale Object Detection in the Wild From Imbalanced Multi-Labels CVPR 2020 Large-Scale Transfer Learning for Low-Resource Spoken Language Understanding Interspeech 2020 Large Scale Video Representation Learning via Relational Graph Clustering CVPR 2020 Large Scale Weakly and Semi-Supervised Learning for Low-Resource Video ASR Interspeech 2020 Latent Bandits Revisited NeurIPS 2020 Latent Belief Space Motion Planning under Cost, Dynamics, and Intent Uncertainty RSS 2020 Latent Bernoulli Autoencoder ICML 2020 LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation CVPR 2020 Latent Opinions Transfer Network for Target-Oriented Opinion Words Extraction AAAI 2020 Latent Regularized Generative Dual Adversarial Network For Abnormal Detection IJCAI 2020 Latent Simplex Position Model: High Dimensional Multi-view Clustering with Uncertainty Quantification JMLR 2020 Latent Template Induction with Gumbel-CRFs NeurIPS 2020