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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)

Surprise Minimizing Multi-Agent Learning with Energy-based Models NeurIPS 2022 Surreal-GAN:Semi-Supervised Representation Learning via GAN for uncovering heterogeneous disease-related imaging patterns ICLR 2022 SVTS: Scalable Video-to-Speech Synthesis Interspeech 2022 Switch to Generalize: Domain-Switch Learning for Cross-Domain Few-Shot Classification ICLR 2022 Sylph: A Hypernetwork Framework for Incremental Few-Shot Object Detection CVPR 2022 Symbolic Brittleness in Sequence Models: On Systematic Generalization in Symbolic Mathematics AAAI 2022 Synergy-of-Experts: Collaborate to Improve Adversarial Robustness NeurIPS 2022 Synergy with Translation Artifacts for Training and Inference in Multilingual Tasks EMNLP 2022 Syntactically Rich Discriminative Training: An Effective Method for Open Information Extraction EMNLP 2022 Syntactically Robust Training on Partially-Observed Data for Open Information Extraction EMNLP 2022 Syntactic and Semantic Uniformity for Semantic Parsing and Task-Oriented Dialogue Systems EMNLP 2022 Syntactic Multi-view Learning for Open Information Extraction EMNLP 2022 Syntax-guided Contrastive Learning for Pre-trained Language Model ACL 2022 Synthesizing Adversarial Visual Scenarios for Model-Based Robotic Control CoRL 2022 Synthetic Disinformation Attacks on Automated Fact Verification Systems AAAI 2022 Synthetic Model Combination: An Instance-wise Approach to Unsupervised Ensemble Learning NeurIPS 2022 Systematic Analysis of Image Schemas in Natural Language through Explainable Multilingual Neural Language Processing COLING 2022 Systematicity, Compositionality and Transitivity of Deep NLP Models: a Metamorphic Testing Perspective ACL 2022 TA2N: Two-Stage Action Alignment Network for Few-Shot Action Recognition AAAI 2022 TABi: Type-Aware Bi-Encoders for Open-Domain Entity Retrieval ACL 2022 Table-based Fact Verification with Self-adaptive Mixture of Experts ACL 2022 Table-based Fact Verification with Self-labeled Keypoint Alignment COLING 2022 TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets NeurIPS 2022 TABS: Efficient Textual Adversarial Attack for Pre-trained NL Code Model Using Semantic Beam Search EMNLP 2022 Tackling Low-Resourced Sign Language Translation: UPC at WMT-SLT 22 EMNLP 2022