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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)

Cross-Modal Masked Compositional Concept Modeling for Enhancing Visio-Linguistic Compositionality ACL 2026 Cross-modal Prompting for Balanced Incomplete Multi-modal Emotion Recognition AAAI 2026 CrossPan: A Comprehensive Benchmark for Cross-Sequence Pancreas MRI Segmentation and Generalization MIDL 2026 Cross-Slice Knowledge Transfer via Masked Multi-Modal Heterogeneous Graph Contrastive Learning for Spatial Gene Expression Inference CVPR 2026 Cross-View Distillation and Adaptive Masking for Incomplete Multi-View Multi-Label Classification CVPR 2026 CrossVL: Complexity-Aware Feature Routing and Paired Curriculum for Cross-View Vision-Language Detection CVPR 2026 CryoKRAQEN: Kernel-Regularized Annealing for Quantized Embedding Networks in Cryo-EM Heterogeneous Reconstruction CVPR 2026 CSRP: Chain-of-Thought Reasoning for Chinese Text Correction via Reinforcement Learning with Efficiency-Aware Rewards ACL 2026 CTTA-T: Continual Test-Time Adaptation for Text Understanding via Teacher-Student with a Domain-aware and Generalized Teacher ACL 2026 CUBic: Coordinated Unified Bimanual Perception and Control Framework CVPR 2026 CUE: Concept-Aware Multi-Label Expansion to Mitigate Concept Confusion in Long-Tailed Learning CVPR 2026 CUET320 at SemEval-2026 Task 10: Few-Shot Large Language Models for Psycholinguistic Marker Extraction and Conspiracy Detection SemEval 2026 CUET-823 at SemEval-2026 Task 9: LoRA-Based Instruction Fine-Tuning of LLMs vs. Transformer Models for Bengali Polarization Detection SemEval 2026 CUETClashing at SemEval-2026 Task 1: Multilingual Joke Generation Under Lexical and Topical Constraints Using Small Instruction-Tuned LLMs SemEval 2026 CUETLuminaries0227 at SemEval-2026 Task 13: Invariance-Oriented Representation Learning for Robust AI-Generated Code Detection SemEval 2026 Cultivating Forensic Reasoning for Generalizable Multimodal Manipulation Detection ACL 2026 CuMA: Aligning LLMs with Sparse Cultural Values via Demographic-Aware Mixture of Adapters ACL 2026 CUNI at SemEval-2026 Task 4: Multi-Head Narrative Aspect Disentanglement via Entangled Synthetic Dataset SemEval 2026 CURA: Clinical Uncertainty Risk Alignment for Language Model–Based Risk Prediction ACL 2026 CURE: Curriculum-guided Multi-task Training for Reliable Anatomy Grounded Report Generation CVPR 2026 Curing Miracle Steps in LLM Mathematical Reasoning with Rubric Rewards ACL 2026 CuriosAI at SemEval-2026 Task 10:Hybrid approaches to conspiracy span extraction and conspiracy detection SemEval 2026 CuriosAI at SemEval-2026 Task 2: Predicting Emotion using RoBERTa-large model SemEval 2026 CuriosAI at SemEval-2026 Task 4: A Comprehensive Study of Zero-Shot versus Fine-Tuned Approaches for Narrative Similarity SemEval 2026 Current Advances in LLM Reasoning ACL 2026