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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)

Neural Sequence-to-grid Module for Learning Symbolic Rules AAAI 2021 Neural Side-by-Side: Predicting Human Preferences for No-Reference Super-Resolution Evaluation CVPR 2021 Neural-Symbolic Commonsense Reasoner with Relation Predictors ACL 2021 Neural-Symbolic Solver for Math Word Problems with Auxiliary Tasks ACL 2021 Neural Tangent Generalization Attacks ICML 2021 Neural Text Denormalization for Speech Transcripts Interspeech 2021 Neural Topic Model via Optimal Transport ICLR 2021 Neural Transformation Learning for Deep Anomaly Detection Beyond Images ICML 2021 Neural Trees for Learning on Graphs NeurIPS 2021 Neural Utility Functions AAAI 2021 Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose NeurIPS 2021 NeuralWOZ: Learning to Collect Task-Oriented Dialogue via Model-Based Simulation ACL 2021 NeuroLogic Decoding: (Un)supervised Neural Text Generation with Predicate Logic Constraints NAACL 2021 NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go CVPR 2021 Neuro-Symbolic Approaches for Text-Based Policy Learning EMNLP 2021 NGC: A Unified Framework for Learning With Open-World Noisy Data ICCV 2021 N-gram and Neural Models for Uralic Language Identification: NRC at VarDial 2021 EACL 2021 N-ImageNet: Towards Robust, Fine-Grained Object Recognition With Event Cameras ICCV 2021 NLPIITR at SemEval-2021 Task 6: RoBERTa Model with Data Augmentation for Persuasion Techniques Detection SemEval 2021 NLQuAD: A Non-Factoid Long Question Answering Data Set EACL 2021 N-LTP: An Open-source Neural Language Technology Platform for Chinese EMNLP 2021 NoahNMT at WMT 2021: Dual Transfer for Very Low Resource Supervised Machine Translation EMNLP 2021 Node-wise Localization of Graph Neural Networks IJCAI 2021 Noise2Grad: Extract Image Noise to Denoise IJCAI 2021 Noise2Score: Tweedie’s Approach to Self-Supervised Image Denoising without Clean Images NeurIPS 2021