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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)

Pre-Trained Language Models for Interactive Decision-Making NeurIPS 2022 Pretrained Models for Multilingual Federated Learning NAACL 2022 Pre-Trained Multilingual Sequence-to-Sequence Models: A Hope for Low-Resource Language Translation? ACL 2022 Pre-trained Token-replaced Detection Model as Few-shot Learner COLING 2022 Pre-training and Fine-tuning Neural Topic Model: A Simple yet Effective Approach to Incorporating External Knowledge ACL 2022 Pre-training Language Models with Deterministic Factual Knowledge EMNLP 2022 Pre-training Molecular Graph Representation with 3D Geometry ICLR 2022 Pre-training to Match for Unified Low-shot Relation Extraction ACL 2022 Pre-Training Transformer Decoder for End-to-End ASR Model with Unpaired Speech Data Interspeech 2022 Pre-Train, Self-Train, Distill: A Simple Recipe for Supersizing 3D Reconstruction CVPR 2022 Preventing Catastrophic Forgetting and Distribution Mismatch in Knowledge Distillation via Synthetic Data WACV 2022 Preventing sensitive-word recognition using self-supervised learning to preserve user-privacy for automatic speech recognition Interspeech 2022 PRHLT’s Submission to WLAC 2022 EMNLP 2022 PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization ACL 2022 Primitive3D: 3D Object Dataset Synthesis From Randomly Assembled Primitives CVPR 2022 Principal Component Flows ICML 2022 Principled Paraphrase Generation with Parallel Corpora ACL 2022 Prior Adaptive Semi-supervised Learning with Application to EHR Phenotyping JMLR 2022 Privacy-Preserving Models for Legal Natural Language Processing EMNLP 2022 Private Adaptive Optimization with Side information ICML 2022 Private and polynomial time algorithms for learning Gaussians and beyond COLT 2022 Private Convex Optimization via Exponential Mechanism COLT 2022 Private High-Dimensional Hypothesis Testing COLT 2022 Private Robust Estimation by Stabilizing Convex Relaxations COLT 2022 Private Semi-Supervised Federated Learning IJCAI 2022