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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)

Genetic Soft Updates for Policy Evolution in Deep Reinforcement Learning ICLR 2021 Genre as Weak Supervision for Cross-lingual Dependency Parsing EMNLP 2021 Geography-Aware Self-Supervised Learning ICCV 2021 GeomCA: Geometric Evaluation of Data Representations ICML 2021 Geometric Unsupervised Domain Adaptation for Semantic Segmentation ICCV 2021 Geometric Value Iteration: Dynamic Error-Aware KL Regularization for Reinforcement Learning ACML 2021 Geometry-aware Instance-reweighted Adversarial Training ICLR 2021 Geometry-Aware Self-Training for Unsupervised Domain Adaptation on Object Point Clouds ICCV 2021 GermanQuAD and GermanDPR: Improving Non-English Question Answering and Passage Retrieval EMNLP 2021 Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence NAACL 2021 GFST: Gender-Filtered Self-Training for More Accurate Gender in Translation EMNLP 2021 GiBERT: Enhancing BERT with Linguistic Information using a Lightweight Gated Injection Method EMNLP 2021 GIFT: Generalizable Interaction-aware Functional Tool Affordances without Labels RSS 2021 GigaSpeech: An Evolving, Multi-Domain ASR Corpus with 10,000 Hours of Transcribed Audio Interspeech 2021 GistNet: A Geometric Structure Transfer Network for Long-Tailed Recognition ICCV 2021 Give the Truth: Incorporate Semantic Slot into Abstractive Dialogue Summarization EMNLP 2021 GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition EACL 2021 GLIB: Efficient Exploration for Relational Model-Based Reinforcement Learning via Goal-Literal Babbling AAAI 2021 Glimpse-Attend-and-Explore: Self-Attention for Active Visual Exploration ICCV 2021 GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning AAAI 2021 Global Convergence of Policy Gradient for Linear-Quadratic Mean-Field Control/Game in Continuous Time ICML 2021 Global Prosody Style Transfer Without Text Transcriptions ICML 2021 Global Transport for Fluid Reconstruction With Learned Self-Supervision CVPR 2021 GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-Efficient Medical Image Recognition ICCV 2021 GLSearch: Maximum Common Subgraph Detection via Learning to Search ICML 2021