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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)

Dynamic Lane Traffic Signal Control with Group Attention and Multi-Timescale Reinforcement Learning IJCAI 2021 Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-shot Commonsense Question Answering AAAI 2021 Dynamic Planning and Learning under Recovering Rewards ICML 2021 Dynamic Popularity-Aware Contrastive Learning for Recommendation ACML 2021 Dynamic Position-aware Network for Fine-grained Image Recognition AAAI 2021 Dynamic Surface Function Networks for Clothed Human Bodies ICCV 2021 Dynamic to Static Lidar Scan Reconstruction Using Adversarially Trained Auto Encoder AAAI 2021 DyStaB: Unsupervised Object Segmentation via Dynamic-Static Bootstrapping CVPR 2021 EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets ACL 2021 Early Prediction of Children’s Task Completion in a Tablet Tutor using Visual Features (Student Abstract) AAAI 2021 ECACL: A Holistic Framework for Semi-Supervised Domain Adaptation ICCV 2021 EC-GAN: Low-Sample Classification using Semi-Supervised Algorithms and GANs (Student Abstract) AAAI 2021 ECG ODE-GAN: Learning Ordinary Differential Equations of ECG Dynamics via Generative Adversarial Learning AAAI 2021 ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-Shot Learning CVPR 2021 ECNUICA at SemEval-2021 Task 11: Rule based Information Extraction Pipeline SemEval 2021 ECOL-R: Encouraging Copying in Novel Object Captioning with Reinforcement Learning EACL 2021 ECONET: Effective Continual Pretraining of Language Models for Event Temporal Reasoning EMNLP 2021 ECS-Net: Improving Weakly Supervised Semantic Segmentation by Using Connections Between Class Activation Maps ICCV 2021 Edge-competing Pathological Liver Vessel Segmentation with Limited Labels AAAI 2021 Edinburgh’s End-to-End Multilingual Speech Translation System for IWSLT 2021 ACL 2021 EdinSaar@WMT21: North-Germanic Low-Resource Multilingual NMT EMNLP 2021 EEC: Learning to Encode and Regenerate Images for Continual Learning ICLR 2021 Effect Generation Based on Causal Reasoning EMNLP 2021 Effective Abstract Reasoning with Dual-Contrast Network ICLR 2021 Effective and Efficient Vote Attack on Capsule Networks ICLR 2021