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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)

A Theoretical Characterization of Semi-supervised Learning with Self-training for Gaussian Mixture Models AISTATS 2021 A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning NeurIPS 2021 A Theory of Independent Mechanisms for Extrapolation in Generative Models AAAI 2021 A Theory of Label Propagation for Subpopulation Shift ICML 2021 A Theory of Multiple-Source Adaptation with Limited Target Labeled Data AISTATS 2021 A Three-Stage Learning Framework for Low-Resource Knowledge-Grounded Dialogue Generation EMNLP 2021 A Three-step Method for Multi-Hop Inference Explanation Regeneration NAACL 2021 ATSO: Asynchronous Teacher-Student Optimization for Semi-Supervised Image Segmentation CVPR 2021 Attacks against Ranking Algorithms with Text Embeddings: A Case Study on Recruitment Algorithms EMNLP 2021 Attentional Constellation Nets for Few-Shot Learning ICLR 2021 Attention-based Contrastive Learning for Winograd Schemas EMNLP 2021 Attention-Based Cross-Modal Fusion for Audio-Visual Voice Activity Detection in Musical Video Streams Interspeech 2021 AttentionRank: Unsupervised Keyphrase Extraction using Self and Cross Attentions EMNLP 2021 Attentive and Contrastive Learning for Joint Depth and Motion Field Estimation ICCV 2021 AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling CVPR 2021 Attentive Neural Point Processes for Event Forecasting AAAI 2021 Attribute-Efficient Learning of Halfspaces with Malicious Noise: Near-Optimal Label Complexity and Noise Tolerance ALT 2021 Attribute-Guided Adversarial Training for Robustness to Natural Perturbations AAAI 2021 Attributes-Guided and Pure-Visual Attention Alignment for Few-Shot Recognition AAAI 2021 A Two-Stage Training Framework with Feature-Label Matching Mechanism for Learning from Label Proportions ACML 2021 Audio2Gestures: Generating Diverse Gestures From Speech Audio With Conditional Variational Autoencoders ICCV 2021 Audio-Visual Information Fusion Using Cross-Modal Teacher-Student Learning for Voice Activity Detection in Realistic Environments Interspeech 2021 Audio-Visual Instance Discrimination with Cross-Modal Agreement CVPR 2021 Audio-Visual Recognition of Emotional Engagement of People with Dementia Interspeech 2021 Audiovisual Transfer Learning for Audio Tagging and Sound Event Detection Interspeech 2021