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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)

The UMD Submission to the Explainable MT Quality Estimation Shared Task: Combining Explanation Models with Sequence Labeling EMNLP 2021 The University of Arizona at SemEval-2021 Task 10: Applying Self-training, Active Learning and Data Augmentation to Source-free Domain Adaptation SemEval 2021 The University of Edinburgh’s Bengali-Hindi Submissions to the WMT21 News Translation Task EMNLP 2021 The University of Edinburgh’s English-German and English-Hausa Submissions to the WMT21 News Translation Task EMNLP 2021 The University of Maryland, College Park Submission to Large-Scale Multilingual Shared Task at WMT 2021 EMNLP 2021 The Value-Improvement Path: Towards Better Representations for Reinforcement Learning AAAI 2021 The Volctrans GLAT System: Non-autoregressive Translation Meets WMT21 EMNLP 2021 The Way to My Heart Is Through Contrastive Learning: Remote Photoplethysmography From Unlabelled Video ICCV 2021 The World of an Octopus: How Reporting Bias Influences a Language Model’s Perception of Color EMNLP 2021 The Zero Resource Speech Challenge 2021: Spoken Language Modelling Interspeech 2021 Think Before You Speak: Learning to Generate Implicit Knowledge for Response Generation by Self-Talk EMNLP 2021 Think Big, Teach Small: Do Language Models Distil Occam’s Razor? NeurIPS 2021 Thompson Sampling Algorithms for Cascading Bandits JMLR 2021 Thou Shalt Love Thy Neighbor as Thyself When Thou Playest: Altruism in Game Theory AAAI 2021 Three Birds with One Stone: Multi-Task Temporal Action Detection via Recycling Temporal Annotations CVPR 2021 Three-Module Modeling For End-to-End Spoken Language Understanding Using Pre-Trained DNN-HMM-Based Acoustic-Phonetic Model Interspeech 2021 Three Ways To Improve Semantic Segmentation With Self-Supervised Depth Estimation CVPR 2021 ThriftyDAgger: Budget-Aware Novelty and Risk Gating for Interactive Imitation Learning CoRL 2021 TIDOT: A Teacher Imitation Learning Approach for Domain Adaptation with Optimal Transport IJCAI 2021 Tiered Reasoning for Intuitive Physics: Toward Verifiable Commonsense Language Understanding EMNLP 2021 Tilted Empirical Risk Minimization ICLR 2021 Time Adaptive Recurrent Neural Network CVPR 2021 Time-Aware Ancient Chinese Text Translation and Inference ACL 2021 Time-Aware Multi-Scale RNNs for Time Series Modeling IJCAI 2021 TIMEDIAL: Temporal Commonsense Reasoning in Dialog ACL 2021