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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)

Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning NeurIPS 2021 Semi-Supervised Semantic Segmentation With Cross Pseudo Supervision CVPR 2021 Semi-Supervised Semantic Segmentation With Directional Context-Aware Consistency CVPR 2021 Semi-Supervised Semantic Segmentation With Pixel-Level Contrastive Learning From a Class-Wise Memory Bank ICCV 2021 Semi-supervised Sequence Classification through Change Point Detection AAAI 2021 Semi-Supervised Synthesis of High-Resolution Editable Textures for 3D Humans CVPR 2021 Semi-Supervised Text Classification with Balanced Deep Representation Distributions ACL 2021 Semi-Supervised Training with Pseudo-Labeling for End-To-End Neural Diarization Interspeech 2021 Semi-Supervised Video Deraining With Dynamical Rain Generator CVPR 2021 Semi-Supervision in ASR: Sequential MixMatch and Factorized TTS-Based Augmentation Interspeech 2021 SENSEI: Aligning Video Streaming Quality with Dynamic User Sensitivity NSDI 2021 Sensitivity Analysis for Causal Mediation through Text: an Application to Political Polarization EMNLP 2021 SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation ICCV 2021 SENT: Sentence-level Distant Relation Extraction via Negative Training ACL 2021 Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction EMNLP 2021 Separating Skills and Concepts for Novel Visual Question Answering CVPR 2021 Separation of Emotional and Reconstruction Embeddings on Ladder Network to Improve Speech Emotion Recognition Robustness in Noisy Conditions Interspeech 2021 Separation Results between Fixed-Kernel and Feature-Learning Probability Metrics NeurIPS 2021 SeqAttack: On Adversarial Attacks for Named Entity Recognition EMNLP 2021 SeqMatchNet: Contrastive Learning with Sequence Matching for Place Recognition & Relocalization CoRL 2021 SeqScore: Addressing Barriers to Reproducible Named Entity Recognition Evaluation EMNLP 2021 Sequence-Level Confidence Classifier for ASR Utterance Accuracy and Application to Acoustic Models Interspeech 2021 Sequence-to-Sequence Contrastive Learning for Text Recognition CVPR 2021 Sequential Attacks on Kalman Filter-based Forward Collision Warning Systems AAAI 2021 Sequential Generative Exploration Model for Partially Observable Reinforcement Learning AAAI 2021