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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)

Semisupervised Neural Proto-Language Reconstruction ACL 2024 Semi-supervised Open-World Object Detection AAAI 2024 Semi-Supervised Reward Modeling via Iterative Self-Training EMNLP 2024 Semi-Supervised Scene Change Detection by Distillation From Feature-Metric Alignment WACV 2024 Semi-Supervised Semantic Depth Estimation Using Symbiotic Transformer and NearFarMix Augmentation WACV 2024 Semi-Supervised Sparse Gaussian Classification: Provable Benefits of Unlabeled Data NeurIPS 2024 Semi-Supervised Spoken Language Glossification ACL 2024 Semi-supervised TEE Segmentation via Interacting with SAM Equipped with Noise-Resilient Prompting AAAI 2024 SeMoLi: What Moves Together Belongs Together CVPR 2024 SemRoDe: Macro Adversarial Training to Learn Representations that are Robust to Word-Level Attacks NAACL 2024 SemST: Semantically Consistent Multi-Scale Image Translation via Structure-Texture Alignment WACV 2024 SemTra: A Semantic Skill Translator for Cross-Domain Zero-Shot Policy Adaptation AAAI 2024 SeNM-VAE: Semi-Supervised Noise Modeling with Hierarchical Variational Autoencoder CVPR 2024 Sensemaking of Socially-Mediated Crisis Information NAACL 2024 SensorSCAN: Self-supervised learning and deep clustering for fault diagnosis in chemical processes (Abstract Reprint) IJCAI 2024 Sentence-wise Speech Summarization: Task, Datasets, and End-to-End Modeling with LM Knowledge Distillation Interspeech 2024 SentiCSE: A Sentiment-aware Contrastive Sentence Embedding Framework with Sentiment-guided Textual Similarity COLING 2024 SenticVec: Toward Robust and Human-Centric Neurosymbolic Sentiment Analysis ACL 2024 Separate and Conquer: Decoupling Co-occurrence via Decomposition and Representation for Weakly Supervised Semantic Segmentation CVPR 2024 Separate in the Speech Chain: Cross-Modal Conditional Audio-Visual Target Speech Extraction IJCAI 2024 Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation AAAI 2024 Separating common from salient patterns with Contrastive Representation Learning ICLR 2024 SEPT: Towards Efficient Scene Representation Learning for Motion Prediction ICLR 2024 SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking ICLR 2024 SequenceMatch: Revisiting the Design of Weak-Strong Augmentations for Semi-Supervised Learning WACV 2024