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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)

CIAN: Cross-Image Affinity Net for Weakly Supervised Semantic Segmentation AAAI 2020 CircleGAN: Generative Adversarial Learning across Spherical Circles NeurIPS 2020 Claim Check-Worthiness Detection as Positive Unlabelled Learning EMNLP 2020 Clarity: Data-Driven Automatic Assessment of Product Competitiveness AAAI 2020 ClarQ: A large-scale and diverse dataset for Clarification Question Generation ACL 2020 Classification-Based Self-Learning for Weakly Supervised Bilingual Lexicon Induction ACL 2020 Class-Incremental Domain Adaptation ECCV 2020 Class-incremental Learning via Deep Model Consolidation WACV 2020 Class Prior Estimation in Active Positive and Unlabeled Learning IJCAI 2020 Class Prior Estimation with Biased Positives and Unlabeled Examples AAAI 2020 Clean-Label Backdoor Attacks on Video Recognition Models CVPR 2020 Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies ICML 2020 CLIRMatrix: A massively large collection of bilingual and multilingual datasets for Cross-Lingual Information Retrieval EMNLP 2020 Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic Reasoning ICML 2020 Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow NeurIPS 2020 Closing the Gap: Joint De-Identification and Concept Extraction in the Clinical Domain ACL 2020 Closure Properties for Private Classification and Online Prediction COLT 2020 CLOUD: Contrastive Learning of Unsupervised Dynamics CoRL 2020 CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information ICML 2020 ClusterFit: Improving Generalization of Visual Representations CVPR 2020 CLUZH at SIGMORPHON 2020 Shared Task on Multilingual Grapheme-to-Phoneme Conversion ACL 2020 C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation UAI 2020 CoachGAN WACV 2020 Coarse Correlation in Extensive-Form Games AAAI 2020 Coarse-to-Fine Pre-training for Named Entity Recognition EMNLP 2020