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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)

“Why Not Other Classes?”: Towards Class-Contrastive Back-Propagation Explanations NeurIPS 2022 Why only Micro-F1? Class Weighting of Measures for Relation Classification ACL 2022 Why Propagate Alone? Parallel Use of Labels and Features on Graphs ICLR 2022 Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP EMNLP 2022 Why So Pessimistic? Estimating Uncertainties for Offline RL through Ensembles, and Why Their Independence Matters NeurIPS 2022 Wide Neural Networks Forget Less Catastrophically ICML 2022 Wider & Closer: Mixture of Short-channel Distillers for Zero-shot Cross-lingual Named Entity Recognition EMNLP 2022 WikiDiverse: A Multimodal Entity Linking Dataset with Diversified Contextual Topics and Entity Types ACL 2022 WikiOmnia: filtration and evaluation of the generated QA corpus on the whole Russian Wikipedia EMNLP 2022 Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time NeurIPS 2022 Will It Blend? Mixing Training Paradigms & Prompting for Argument Quality Prediction COLING 2022 Wind Prediction under Random Data Corruption (Student Abstract) AAAI 2022 Wish I Can Feel What You Feel: A Neural Approach for Empathetic Response Generation EMNLP 2022 With False Friends Like These, Who Can Notice Mistakes? AAAI 2022 Word Discovery in Visually Grounded, Self-Supervised Speech Models Interspeech 2022 Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving AAAI 2022 Word Level Robustness Enhancement: Fight Perturbation with Perturbation AAAI 2022 Word Segmentation as Unsupervised Constituency Parsing ACL 2022 Word Tour: One-dimensional Word Embeddings via the Traveling Salesman Problem NAACL 2022 Word-wise Sparse Attention for Multimodal Sentiment Analysis Interspeech 2022 Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training Benchmark NeurIPS 2022 XDC: Adversarial Adaptive Cross Domain Face Clustering (Student Abstract) AAAI 2022 X-FACTOR: A Cross-metric Evaluation of Factual Correctness in Abstractive Summarization EMNLP 2022 XInfoTabS: Evaluating Multilingual Tabular Natural Language Inference ACL 2022 XLM-K: Improving Cross-Lingual Language Model Pre-training with Multilingual Knowledge AAAI 2022