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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)

Look Within or Beyond? A Theoretical Comparison Between Parameter-Efficient and Full Fine-Tuning ACL 2026 looploop at SemEval-2026 Task 3: A Dimensional Aspect-Based Sentiment System with DeBERTa Regression and Qwen3 Instruction Fine-Tuning SemEval 2026 LoopTool: Closing the Data–Training Loop for Robust LLM Tool Calls ACL 2026 LoPrune: Efficient Data Pruning for LoRA-Based Fine-Tuning of Vision Transformer CVPR 2026 LoRA on the Go: Instance-level Dynamic LoRA Selection and Merging ACL 2026 LOREAL: Mitigating Low-Resolution Challenges in Vision-Language Models with Attribute-driven Prompt Self-Distillation CVPR 2026 LottieGPT: Tokenizing Vector Animation for Autoregressive Generation CVPR 2026 LOTUS: Evolving Multimodal Unlearning via Hyperbolic Entailment and Lorentz Transport ACL 2026 Love Me, Love My Label: Rethinking the Role of Labels in Prompt Retrieval for Visual In-Context Learning CVPR 2026 Low-Rank Residual Diffusion Models CVPR 2026 Low-Rank Test-Time Training for Pre-Trained Point Cloud Models CVPR 2026 LumiX: Structured and Coherent Text-to-Intrinsic Generation CVPR 2026 M2PO: Multi-Perspective Multi-Pair Preference Optimization for Machine Translation ACL 2026 M4-SAM: Multi-Modal Mixture-of-Experts with Memory-Augmented SAM for RGB-D Video Salient Object Detection CVPR 2026 M4V: Multimodal Mamba for Efficient Text-to-Video Generation CVPR 2026 Machine-Learning Based Detection of Coronary Artery Calcification Using Synthetic Chest X-Rays MIDL 2026 Machine Mental Imagery: Empower Multimodal Reasoning with Latent Visual Tokens CVPR 2026 Machine Unlearning via Adaptive Gradient Reweighting and Multi-stage Objective Optimization CVPR 2026 MacTok: Robust Continuous Tokenization for Image Generation CVPR 2026 MADE: A Living Benchmark for Multi-Label Text Classification with Uncertainty Quantification of Medical Device Adverse Events ACL 2026 MAESTRO: Masked AutoEncoders for Multimodal, Multitemporal, and Multispectral Earth Observation Data WACV 2026 MAFM3: Modular Adaptation of Foundation Models for Multi-Modal Medical AI WACV 2026 Making Large Language Models Efficient Dense Retrievers ACL 2026 Making Logic a First-Class Citizen in Generative ML for Networking NSDI 2026 MALTO at SemEval-2026 Task 13: Detecting Human, AI, and Hybrid Code via Hard Negative Mining and Curriculum-Driven Ensembles SemEval 2026