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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)

Team MLU@CL-SciSumm20: Methods for Computational Linguistics Scientific Citation Linkage EMNLP 2020 Team Rouges at SemEval-2020 Task 12: Cross-lingual Inductive Transfer to Detect Offensive Language SemEval 2020 TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising EMNLP 2020 TED-CDB: A Large-Scale Chinese Discourse Relation Dataset on TED Talks EMNLP 2020 Telescoping Density-Ratio Estimation NeurIPS 2020 Telling Left From Right: Learning Spatial Correspondence of Sight and Sound CVPR 2020 Tell Me What They're Holding: Weakly-Supervised Object Detection with Transferable Knowledge from Human-Object Interaction AAAI 2020 TemPEST: Soft Template-Based Personalized EDM Subject Generation through Collaborative Summarization AAAI 2020 Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering ACL 2020 Temporal Attention Convolutional Network for Speech Emotion Recognition with Latent Representation Interspeech 2020 Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution IJCAI 2020 Temporal Common Sense Acquisition with Minimal Supervision ACL 2020 Temporal Contrastive Pretraining for Video Action Recognition WACV 2020 Temporal Logics Over Finite Traces with Uncertainty AAAI 2020 Temporally-Informed Analysis of Named Entity Recognition ACL 2020 Temporal Mental Health Dynamics on Social Media EMNLP 2020 Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation NeurIPS 2020 Temporal Reasoning in Natural Language Inference EMNLP 2020 Temporal Spike Sequence Learning via Backpropagation for Deep Spiking Neural Networks NeurIPS 2020 TemporalTeller at SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection with Temporal Referencing SemEval 2020 Tencent submission for WMT20 Quality Estimation Shared Task EMNLP 2020 Tensor Decompositions for Temporal Knowledge Base Completion ICLR 2020 Tensor denoising and completion based on ordinal observations ICML 2020 Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series AAAI 2020 Testing Database Engines via Pivoted Query Synthesis OSDI 2020