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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)

XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale Interspeech 2022 X-MEN: guaranteed XOR-maximum entropy constrained inverse reinforcement learning UAI 2022 X-model: Improving Data Efficiency in Deep Learning with A Minimax Model ICLR 2022 XMP-Font: Self-Supervised Cross-Modality Pre-Training for Few-Shot Font Generation CVPR 2022 X-Pool: Cross-Modal Language-Video Attention for Text-Video Retrieval CVPR 2022 XPrompt: Exploring the Extreme of Prompt Tuning EMNLP 2022 X-PuDu at SemEval-2022 Task 7: A Replaced Token Detection Task Pre-trained Model with Pattern-aware Ensembling for Identifying Plausible Clarifications SemEval 2022 XRICL: Cross-lingual Retrieval-Augmented In-Context Learning for Cross-lingual Text-to-SQL Semantic Parsing EMNLP 2022 Yet@SMM4H’22: Improved BERT-based classification models with Rdrop and PolyLoss COLING 2022 yiriyou@SMM4H’22: Stance and Premise Classification in Domain Specific Tweets with Dual-View Attention Neural Networks COLING 2022 YNU-HPCC at SemEval-2022 Task 2: Representing Multilingual Idiomaticity based on Contrastive Learning SemEval 2022 You Can’t Count on Luck: Why Decision Transformers and RvS Fail in Stochastic Environments NeurIPS 2022 You can’t pick your neighbors, or can you? When and How to Rely on Retrieval in the kNN-LM EMNLP 2022 You Only Cut Once: Boosting Data Augmentation with a Single Cut ICML 2022 You Only Live Once: Single-Life Reinforcement Learning NeurIPS 2022 You Only Look at One: Category-Level Object Representations for Pose Estimation From a Single Example CoRL 2022 Your Out-of-Distribution Detection Method is Not Robust! NeurIPS 2022 You Truly Understand What I Need : Intellectual and Friendly Dialog Agents grounding Persona and Knowledge EMNLP 2022 ZARTS: On Zero-order Optimization for Neural Architecture Search NeurIPS 2022 Zero- and Few-Shot NLP with Pretrained Language Models ACL 2022 ZeroC: A Neuro-Symbolic Model for Zero-shot Concept Recognition and Acquisition at Inference Time NeurIPS 2022 ZeroCap: Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic CVPR 2022 Zero-CL: Instance and Feature decorrelation for negative-free symmetric contrastive learning ICLR 2022 Zero Experience Required: Plug & Play Modular Transfer Learning for Semantic Visual Navigation CVPR 2022 Zero-Query Transfer Attacks on Context-Aware Object Detectors CVPR 2022