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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)

Sequential Graph Convolutional Network for Active Learning CVPR 2021 Sequential prediction under log-loss and misspecification COLT 2021 Sequential Randomized Smoothing for Adversarially Robust Speech Recognition EMNLP 2021 Sesame Street to Mount Sinai: BERT-constrained character-level Moses models for multilingual lexical normalization EMNLP 2021 Settling the Variance of Multi-Agent Policy Gradients NeurIPS 2021 Shades of BLEU, Flavours of Success: The Case of MultiWOZ ACL 2021 Shallow Convolution-Augmented Transformer with Differentiable Neural Computer for Low-Complexity Classification of Variable-Length Acoustic Scene Interspeech 2021 Shallow Feature Matters for Weakly Supervised Object Localization CVPR 2021 SHAPELURN: An Interactive Language Learning Game with Logical Inference ACL 2021 Shape Matters: Understanding the Implicit Bias of the Noise Covariance COLT 2021 Shape Self-Correction for Unsupervised Point Cloud Understanding ICCV 2021 Shared Cross-Modal Trajectory Prediction for Autonomous Driving CVPR 2021 Shared Independent Component Analysis for Multi-Subject Neuroimaging NeurIPS 2021 Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer ICML 2021 Shortcutted Commonsense: Data Spuriousness in Deep Learning of Commonsense Reasoning EMNLP 2021 Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks ICML 2021 Shot Contrastive Self-Supervised Learning for Scene Boundary Detection CVPR 2021 SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations AAAI 2021 Shuffled-token Detection for Refining Pre-trained RoBERTa NAACL 2021 Siamese Network with wav2vec Feature for Spoofing Speech Detection Interspeech 2021 SiameseXML: Siamese Networks meet Extreme Classifiers with 100M Labels ICML 2021 SignBERT: Pre-Training of Hand-Model-Aware Representation for Sign Language Recognition ICCV 2021 Signed Coreference Resolution EMNLP 2021 Silent versus Modal Multi-Speaker Speech Recognition from Ultrasound and Video Interspeech 2021 SILG: The Multi-domain Symbolic Interactive Language Grounding Benchmark NeurIPS 2021