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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)

Spurious Correlations in Cross-Topic Argument Mining ACL 2021 SRPOL DIALOGUE SYSTEMS at SemEval-2021 Task 5: Automatic Generation of Training Data for Toxic Spans Detection SemEval 2021 SSAL: Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection NeurIPS 2021 SSAN: Separable Self-Attention Network for Video Representation Learning CVPR 2021 SSD: A Unified Framework for Self-Supervised Outlier Detection ICLR 2021 SSH: A Self-Supervised Framework for Image Harmonization ICCV 2021 SS-IL: Separated Softmax for Incremental Learning ICCV 2021 SSLayout360: Semi-Supervised Indoor Layout Estimation From 360deg Panorama CVPR 2021 SSMF: Shifting Seasonal Matrix Factorization NeurIPS 2021 SSN3D: Self-Separated Network to Align Parts for 3D Convolution in Video Person Re-Identification AAAI 2021 SSNCSE_NLP@DravidianLangTech-EACL2021: Offensive Language Identification on Multilingual Code Mixing Text EACL 2021 ssn_diBERTsity@LT-EDI-EACL2021:Hope Speech Detection on multilingual YouTube comments via transformer based approach EACL 2021 SSPC-Net: Semi-supervised Semantic 3D Point Cloud Segmentation Network AAAI 2021 SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning NeurIPS 2021 ST3D: Self-Training for Unsupervised Domain Adaptation on 3D Object Detection CVPR 2021 Stabilized Medical Image Attacks ICLR 2021 Stabilizing Label Assignment for Speech Separation by Self-Supervised Pre-Training Interspeech 2021 Stabilizing Q Learning Via Soft Mellowmax Operator AAAI 2021 Stable Adversarial Learning under Distributional Shifts AAAI 2021 Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks NeurIPS 2021 Stacked AMR Parsing with Silver Data EMNLP 2021 Stance Detection in COVID-19 Tweets ACL 2021 StarGANv2-VC: A Diverse, Unsupervised, Non-Parallel Framework for Natural-Sounding Voice Conversion Interspeech 2021 StarNet: towards Weakly Supervised Few-Shot Object Detection AAAI 2021 STaR: Self-Supervised Tracking and Reconstruction of Rigid Objects in Motion With Neural Rendering CVPR 2021