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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)

Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free CVPR 2022 Query and Extract: Refining Event Extraction as Type-oriented Binary Decoding ACL 2022 Query-based Instance Discrimination Network for Relational Triple Extraction EMNLP 2022 Query-Efficient and Scalable Black-Box Adversarial Attacks on Discrete Sequential Data via Bayesian Optimization ICML 2022 QUERY EFFICIENT DECISION BASED SPARSE ATTACKS AGAINST BLACK-BOX DEEP LEARNING MODELS ICLR 2022 Questioning the Validity of Summarization Datasets and Improving Their Factual Consistency EMNLP 2022 QuickGraph: A Rapid Annotation Tool for Knowledge Graph Extraction from Technical Text ACL 2022 QuoteR: A Benchmark of Quote Recommendation for Writing ACL 2022 R3M: A Universal Visual Representation for Robot Manipulation CoRL 2022 RAAT: Relation-Augmented Attention Transformer for Relation Modeling in Document-Level Event Extraction NAACL 2022 RADU: Ray-Aligned Depth Update Convolutions for ToF Data Denoising CVPR 2022 Rainbow Keywords: Efficient Incremental Learning for Online Spoken Keyword Spotting Interspeech 2022 Rainier: Reinforced Knowledge Introspector for Commonsense Question Answering EMNLP 2022 Rainy WCity: A Real Rainfall Dataset with Diverse Conditions for Semantic Driving Scene Understanding IJCAI 2022 Raising the Bar in Graph-level Anomaly Detection IJCAI 2022 RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning NeurIPS 2022 Random Effect Bandits AISTATS 2022 Random Forest Density Estimation ICML 2022 Randomized Channel Shuffling: Minimal-Overhead Backdoor Attack Detection without Clean Datasets NeurIPS 2022 Randomized Message-Interception Smoothing: Gray-box Certificates for Graph Neural Networks NeurIPS 2022 Random Normalization Aggregation for Adversarial Defense NeurIPS 2022 Random vs. Best-First: Impact of Sampling Strategies on Decision Making in Model-Based Diagnosis AAAI 2022 RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection NeurIPS 2022 RankGen: Improving Text Generation with Large Ranking Models EMNLP 2022 Ranking Environment, Social And Governance Related Concepts And Assessing Sustainability Aspect of Financial Texts EMNLP 2022