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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)

TerraMind: Large-Scale Generative Multimodality for Earth Observation ICCV 2025 TESPEC: Temporally-Enhanced Self-Supervised Pretraining for Event Cameras ICCV 2025 TestAgent: An Adaptive and Intelligent Expert for Human Assessment ACL 2025 TestGenEval: A Real World Unit Test Generation and Test Completion Benchmark ICLR 2025 Testing Causal Models with Hidden Variables in Polynomial Delay via Conditional Independencies AAAI 2025 Testing Conditional Independence with Deep Neural Network Based Binary Expansion Testing (DeepBET) AISTATS 2025 Testing Generalizability in Causal Inference UAI 2025 Testing the Boundaries of LLMs: Dialectal and Language-Variety Tasks COLING 2025 Testing the Limits of Fine-Tuning for Improving Visual Cognition in Vision Language Models ICML 2025 TESTN: A Triad-Enhanced Spatio-Temporal Network for Multi-Temporal POI Relationship Inference IJCAI 2025 TestNUC: Enhancing Test-Time Computing Approaches and Scaling through Neighboring Unlabeled Data Consistency ACL 2025 Test-Time Adaptation for Combating Missing Modalities in Egocentric Videos ICLR 2025 Test-time Adaptation for Foundation Medical Segmentation Model Without Parametric Updates ICCV 2025 Test-Time Adaptation of 3D Point Clouds via Denoising Diffusion Models WACV 2025 Test-Time Adaptation on Noisy Data via Model-Pruning-Based Filtering and Flatness-Aware Entropy Minimization AAAI 2025 Test-Time Adaptation on Recommender System with Data-Centric Graph Transformation IJCAI 2025 Test-Time Backdoor Detection for Object Detection Models CVPR 2025 Test-time Backdoor Mitigation for Black-Box Large Language Models with Defensive Demonstrations NAACL 2025 Test-Time Code-Switching for Cross-lingual Aspect Sentiment Triplet Extraction NAACL 2025 Test-Time Fine-Tuning of Image Compression Models for Multi-Task Adaptability CVPR 2025 Test-Time Prompt Tuning for Zero-Shot Depth Completion ICCV 2025 Test-Time Retrieval-Augmented Adaptation for Vision-Language Models ICCV 2025 Test-Time Training on Video Streams JMLR 2025 Test-Time Visual In-Context Tuning CVPR 2025 TEST-V: TEst-time Support-set Tuning for Zero-shot Video Classification IJCAI 2025