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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)

Boosting Offline Reinforcement Learning with Residual Generative Modeling IJCAI 2021 Boosting Weakly Supervised Object Detection via Learning Bounding Box Adjusters ICCV 2021 Boosting with Multiple Sources NeurIPS 2021 Bootstrap an End-to-End ASR System by Multilingual Training, Transfer Learning, Text-to-Text Mapping and Synthetic Audio Interspeech 2021 Bootstrapped Unsupervised Sentence Representation Learning ACL 2021 Bootstrapping a Music Voice Assistant with Weak Supervision NAACL 2021 Bootstrapping Dialog Models from Human to Human Conversation Logs AAAI 2021 Bootstrapping Fitted Q-Evaluation for Off-Policy Inference ICML 2021 Bootstrapping Large-Scale Fine-Grained Contextual Advertising Classifier from Wikipedia NAACL 2021 Bootstrapping Multilingual AMR with Contextual Word Alignments EACL 2021 Bootstrap Your Object Detector via Mixed Training NeurIPS 2021 Bootstrap Your Own Correspondences ICCV 2021 BooVAE: Boosting Approach for Continual Learning of VAE NeurIPS 2021 BossNAS: Exploring Hybrid CNN-Transformers With Block-Wisely Self-Supervised Neural Architecture Search ICCV 2021 Boundary IoU: Improving Object-Centric Image Segmentation Evaluation CVPR 2021 Boundary Knowledge Translation based Reference Semantic Segmentation IJCAI 2021 Boundary-Sensitive Pre-Training for Temporal Localization in Videos ICCV 2021 Bounded Memory Active Learning through Enriched Queries COLT 2021 Bounded Risk-Sensitive Markov Games: Forward Policy Design and Inverse Reward Learning with Iterative Reasoning and Cumulative Prospect Theory AAAI 2021 Bounding Causal Effects on Continuous Outcome AAAI 2021 BoxInst: High-Performance Instance Segmentation With Box Annotations CVPR 2021 BPM_MT: Enhanced Backchannel Prediction Model using Multi-Task Learning EMNLP 2021 Brain Image Synthesis With Unsupervised Multivariate Canonical CSCl4Net CVPR 2021 Breaking Shortcuts by Masking for Robust Visual Reasoning WACV 2021 Breaking the Dilemma of Medical Image-to-image Translation NeurIPS 2021