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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)

SHAS: Approaching optimal Segmentation for End-to-End Speech Translation Interspeech 2022 Shedding New Light on the Language of the Dark Web NAACL 2022 SHIELD: Defending Textual Neural Networks against Multiple Black-Box Adversarial Attacks with Stochastic Multi-Expert Patcher ACL 2022 SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation CVPR 2022 Shoring up the foundations: fusing model embeddings and weak supervision UAI 2022 Short-Term Plasticity Neurons Learning to Learn and Forget ICML 2022 Should I Run Offline Reinforcement Learning or Behavioral Cloning? ICLR 2022 Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis NAACL 2022 Show, Don’t Tell: Demonstrations Outperform Descriptions for Schema-Guided Task-Oriented Dialogue NAACL 2022 Showing Your Offline Reinforcement Learning Work: Online Evaluation Budget Matters ICML 2022 Shrub Ensembles for Online Classification AAAI 2022 Shuffle Private Linear Contextual Bandits ICML 2022 Siamese BERT-Based Model for Web Search Relevance Ranking Evaluated on a New Czech Dataset AAAI 2022 Siamese Contrastive Embedding Network for Compositional Zero-Shot Learning CVPR 2022 SiamTrans: Zero-Shot Multi-Frame Image Restoration with Pre-trained Siamese Transformers AAAI 2022 Sibylvariant Transformations for Robust Text Classification ACL 2022 Sim2Real Object-Centric Keypoint Detection and Description AAAI 2022 SimAN: Exploring Self-Supervised Representation Learning of Scene Text via Similarity-Aware Normalization CVPR 2022 SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval EMNLP 2022 SimCTC: A Simple Contrast Learning Method of Text Clustering (Student Abstract) AAAI 2022 Similarity Search for Efficient Active Learning and Search of Rare Concepts AAAI 2022 SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-training for Spatial-Aware Visual Representations AAAI 2022 SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Models ACL 2022 SimMatch: Semi-Supervised Learning With Similarity Matching CVPR 2022 SimMC: Simple Masked Contrastive Learning of Skeleton Representations for Unsupervised Person Re-Identification IJCAI 2022