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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)

Co2L: Contrastive Continual Learning ICCV 2021 Coach-Player Multi-agent Reinforcement Learning for Dynamic Team Composition ICML 2021 Coarse2Fine: Fine-grained Text Classification on Coarsely-grained Annotated Data EMNLP 2021 Coarsely-Labeled Data for Better Few-Shot Transfer ICCV 2021 Coarse Temporal Attention Network (CTA-Net) for Driver's Activity Recognition WACV 2021 COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining NeurIPS 2021 CoCoNets: Continuous Contrastive 3D Scene Representations CVPR 2021 CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation CVPR 2021 Code Completion by Modeling Flattened Abstract Syntax Trees as Graphs AAAI 2021 Code Generation from Natural Language with Less Prior Knowledge and More Monolingual Data ACL 2021 Code-Mixing on Sesame Street: Dawn of the Adversarial Polyglots NAACL 2021 Co-evolution of language and agents in referential games EACL 2021 Co-evolution Transformer for Protein Contact Prediction NeurIPS 2021 Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration CoRL 2021 Co-GAT: A Co-Interactive Graph Attention Network for Joint Dialog Act Recognition and Sentiment Classification AAAI 2021 CogNLP-Sheffield at CMCL 2021 Shared Task: Blending Cognitively Inspired Features with Transformer-based Language Models for Predicting Eye Tracking Patterns NAACL 2021 CogTree: Cognition Tree Loss for Unbiased Scene Graph Generation IJCAI 2021 COHESIV: Contrastive Object and Hand Embedding Segmentation In Video NeurIPS 2021 COIN: Conversational Interactive Networks for Emotion Recognition in Conversation NAACL 2021 CoLA: Weakly-Supervised Temporal Action Localization With Snippet Contrastive Learning CVPR 2021 Cold Start Problem For Automated Live Video Comments NAACL 2021 Cold-start Sequential Recommendation via Meta Learner AAAI 2021 Collaborative and Adversarial Learning of Focused and Dispersive Representations for Semi-Supervised Polyp Segmentation ICCV 2021 Collaborative Bayesian Optimization with Fair Regret ICML 2021 Collaborative Causal Discovery with Atomic Interventions NeurIPS 2021