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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)

Scaling Up AND/OR Abstraction Sampling IJCAI 2020 ScanMap: Supervised Confounding Aware Non-negative Matrix Factorization for Polygenic Risk Modeling MLHC 2020 SCAR: Sentence Compression using Autoencoders for Reconstruction ACL 2020 Scattering GCN: Overcoming Oversmoothness in Graph Convolutional Networks NeurIPS 2020 SCDE: Sentence Cloze Dataset with High Quality Distractors From Examinations ACL 2020 Scene-Adaptive Video Frame Interpolation via Meta-Learning CVPR 2020 SChME at SemEval-2020 Task 1: A Model Ensemble for Detecting Lexical Semantic Change SemEval 2020 SChuBERT: Scholarly Document Chunks with BERT-encoding boost Citation Count Prediction. EMNLP 2020 Scientific Keyphrase Identification and Classification by Pre-Trained Language Models Intermediate Task Transfer Learning COLING 2020 scikit-survival: A Library for Time-to-Event Analysis Built on Top of scikit-learn JMLR 2020 SciWING– A Software Toolkit for Scientific Document Processing EMNLP 2020 Score Combination for Improved Parallel Corpus Filtering for Low Resource Conditions EMNLP 2020 SCOUT: Self-Aware Discriminant Counterfactual Explanations CVPR 2020 ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation CVPR 2020 Screenplay Summarization Using Latent Narrative Structure ACL 2020 Script Induction as Association Rule Mining ACL 2020 Searching for a Search Method: Benchmarking Search Algorithms for Generating NLP Adversarial Examples EMNLP 2020 Searching to Exploit Memorization Effect in Learning with Noisy Labels ICML 2020 Search Tree Pruning for Progressive Neural Architecture Search (Student Abstract) AAAI 2020 Second-Order NLP Adversarial Examples EMNLP 2020 Second Order PAC-Bayesian Bounds for the Weighted Majority Vote NeurIPS 2020 Second-Order Provable Defenses against Adversarial Attacks ICML 2020 Second-Order Unsupervised Neural Dependency Parsing COLING 2020 Secretary and Online Matching Problems with Machine Learned Advice NeurIPS 2020 Seeing Both the Forest and the Trees: Multi-head Attention for Joint Classification on Different Compositional Levels COLING 2020