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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)

Discovering New Intents with Deep Aligned Clustering AAAI 2021 Discovering Non-monotonic Autoregressive Orderings with Variational Inference ICLR 2021 Discovering Relationships Between Object Categories via Universal Canonical Maps CVPR 2021 Discovering symbolic policies with deep reinforcement learning ICML 2021 Discovering the Unknown Knowns: Turning Implicit Knowledge in the Dataset into Explicit Training Examples for Visual Question Answering EMNLP 2021 Discrete and Soft Prompting for Multilingual Models EMNLP 2021 Discrete-Continuous Action Space Policy Gradient-Based Attention for Image-Text Matching CVPR 2021 Discrete Multiple Kernel k-means IJCAI 2021 Discriminative Complementary-Label Learning with Weighted Loss ICML 2021 Discriminative Region-Based Multi-Label Zero-Shot Learning ICCV 2021 Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation AAAI 2021 Discriminative Self-Training for Punctuation Prediction Interspeech 2021 Disentangled Contrastive Learning on Graphs NeurIPS 2021 Disentangled Cycle Consistency for Highly-Realistic Virtual Try-On CVPR 2021 Disentangled Information Bottleneck AAAI 2021 Disentangled Motif-aware Graph Learning for Phrase Grounding AAAI 2021 Disentangled Representation for Age-Invariant Face Recognition: A Mutual Information Minimization Perspective ICCV 2021 Disentangled Representation Learning in Heterogeneous Information Network for Large-scale Android Malware Detection in the COVID-19 Era and Beyond AAAI 2021 Disentangling Document Topic and Author Gender in Multiple Languages: Lessons for Adversarial Debiasing EACL 2021 Disentangling Identifiable Features from Noisy Data with Structured Nonlinear ICA NeurIPS 2021 Disentangling Label Distribution for Long-Tailed Visual Recognition CVPR 2021 Disentangling Representations of Text by Masking Transformers EMNLP 2021 Disfluency Correction using Unsupervised and Semi-supervised Learning EACL 2021 Disfluency Detection with Unlabeled Data and Small BERT Models Interspeech 2021 Disposable Linear Bandits for Online Recommendations AAAI 2021