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Learning Types

32,670 papers (1 classified directly here)

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)
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Papers (including subtopics)

Team YTY at SemEval 2026 task 12: Option-Aware Retrieval and Cross-Encoder Reasoning Framework for Abductive Event Reasoning SemEval 2026 Team Yuvan at SemEval-2026 Task 13: Task-Adaptive Ensemble Strategies for AI-Generated Code Detection SemEval 2026 TEAR: Temporal-aware Automated Red-teaming for Text-to-Video Models CVPR 2026 TeFlow: Enabling Multi-frame Supervision for Self-Supervised Feed-forward Scene Flow Estimation CVPR 2026 TeleAI at SemEval-2026 Task 13: Data-Centric Full-Parameter Fine-Tuning with Multi-Level Ensembling for Generated Code Detection SemEval 2026 TeleAI at SemEval-2026 Task 3: Large Language Models for Dimensional Aspect-Based Sentiment Analysis SemEval 2026 TeleAI at SemEval-2026 Task 4: Few-Shot Narrative Similarity Modeling for Classification and Ranking SemEval 2026 TeleAI at SemEval-2026 Task 6: A Confidence-Aware Multi-Stage Reasoning Framework with Chain-of-Thought SemEval 2026 Tell2Adapt: A Unified Framework for Source Free Unsupervised Domain Adaptation via Vision Foundation Model CVPR 2026 Template-assisted Contrastive Learning of Task-oriented Dialogue Sentence Embeddings ACL 2026 TempoControl: Temporal Attention Guidance for Text-to-Video Models CVPR 2026 TempoMaster: Efficient Long Video Generation via Next-Frame-Rate Prediction CVPR 2026 Temporal Equilibrium MeanFlow: Bridging the Scale Gap for One-Step Generation CVPR 2026 Temporal Imbalance of Positive and Negative Supervision in Class-Incremental Learning CVPR 2026 Temporal Representation Enhancement (TRE): Learning to Forget Dominant Patterns for Enhanced Temporal Spiking Features CVPR 2026 Temporal Sampling for Forgotten Reasoning in LLMs ACL 2026 TempR1: Improving Temporal Understanding of MLLMs via Temporal-Aware Multi-Task Reinforcement Learning CVPR 2026 TeRA: Vector-based Random Tensor Network for High-Rank Adaptation of Large Language Models ACL 2026 TerraSeg: Self-Supervised Ground Segmentation for Any LiDAR CVPR 2026 TESSERA: Temporal Embeddings of Surface Spectra for Earth Representation and Analysis CVPR 2026 Testing the Trust: Verification and Validation of Bayesian Segmentation under Uncertainty MIDL 2026 Test-Time 3D Occupancy Prediction CVPR 2026 Test-Time Adaptation for Video Highlight Detection Using Meta-Auxiliary Learning and Cross-Modality Hallucinations WACV 2026 Test Time Adaptation Using Adaptive Quantile Recalibration WACV 2026 Test-Time Instance-Specific Parameter Composition: A New Paradigm for Adaptive Generative Modeling CVPR 2026