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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)

Exploring One-Shot Semi-supervised Federated Learning with Pre-trained Diffusion Models AAAI 2024 Exploring Orthogonality in Open World Object Detection CVPR 2024 Exploring Pathological Speech Quality Assessment with ASR-Powered Wav2Vec2 in Data-Scarce Context COLING 2024 Exploring Pose-Aware Human-Object Interaction via Hybrid Learning CVPR 2024 Exploring Question Guidance and Answer Calibration for Visually Grounded Video Question Answering EMNLP 2024 Exploring Regional Clues in CLIP for Zero-Shot Semantic Segmentation CVPR 2024 Exploring Region-Word Alignment in Built-in Detector for Open-Vocabulary Object Detection CVPR 2024 Exploring Scientific Hypothesis Generation with Mamba EMNLP 2024 Exploring Self-supervised Embeddings and Synthetic Data Augmentation for Robust Audio Deepfake Detection Interspeech 2024 Exploring Self-supervised Logic-enhanced Training for Large Language Models NAACL 2024 Exploring Self-Supervised Multi-view Contrastive Learning for Speech Emotion Recognition with Limited Annotations Interspeech 2024 Exploring Self-Supervised Speech Representations for Cross-lingual Acoustic-to-Articulatory Inversion Interspeech 2024 Exploring Soft-Label Training for Implicit Discourse Relation Recognition EACL 2024 Exploring Space Efficiency in a Tree-based Linear Model for Extreme Multi-label Classification EMNLP 2024 Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction AAAI 2024 Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation NeurIPS 2024 Exploring Target Representations for Masked Autoencoders ICLR 2024 Exploring the Challenges of Behaviour Change Language Classification: A Study on Semi-Supervised Learning and the Impact of Pseudo-Labelled Data COLING 2024 Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning Through Trap Problems EMNLP 2024 Exploring the Edges of Latent State Clusters for Goal-Conditioned Reinforcement Learning NeurIPS 2024 Exploring the impact of noise in low-resource ASR for Tamil EACL 2024 Exploring the Limits of Fine-grained LLM-based Physics Inference via Premise Removal Interventions EMNLP 2024 Exploring the Potential of Large Foundation Models for Open-Vocabulary HOI Detection CVPR 2024 Exploring the Potential of Large Language Models in Computational Argumentation ACL 2024 Exploring the Precise Dynamics of Single-Layer GAN Models: Leveraging Multi-Feature Discriminators for High-Dimensional Subspace Learning NeurIPS 2024