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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)

TAR: Token-Aware Refinement for Fine-grained Generalized Category Discovery CVPR 2026 Task-Conditioned 3D U-Nets via Hypernetworks for Data-Scarce Medical Segmentation MIDL 2026 TaskForce: Cooperative Multi-agent Reinforcement Learning for Multi-task Optimization CVPR 2026 Task-Free Continual Learning via Order-Invariant Linearized Adaptation and Density-Guided Adapter Routing UAI 2026 TaskIT: Memory-Efficient Fine-Tuning of Multi-LoRA LLMs via Cross-Task Importance Transfer CVPR 2026 Task-Oriented Data Synthesis and Control-Rectify Sampling for Remote Sensing Semantic Segmentation CVPR 2026 TAS-LoRA: Transformer Architecture Search with Mixture-of-LoRA Experts CVPR 2026 Taxonomy-Aware Representation Alignment for Hierarchical Visual Recognition with Large Multimodal Models CVPR 2026 Tea-Adapter: Teacher Adapter for Efficient Conditional Generation CVPR 2026 Teach a Reward Model to Correct Itself: Reward Guided Adversarial Failure Discovery for Robust Reward Modeling ACL 2026 Teacher-Guided Routing for Sparse Vision Mixture-of-Experts CVPR 2026 Teaching DINOv3 About Partial 3D Geometry: A Self-Supervised Geometry-Aware Approach CVPR 2026 Teaching Language Models to Check Grounded Claim Factuality with Human Test-Taking Strategies ACL 2026 Team-Based Self-Play With Dual Adaptive Weighting for Fine-Tuning LLMs ACL 2026 Team Duo at SemEval-2026 Task 13: Fine-tuning CodeBERT for Out-of-Distribution AI-Generated Code Detection SemEval 2026 Team ewelinaksiez at SemEval-2026 Task 11: Reducing Content Bias in Syllogistic Reasoning via Semantic Abstraction SemEval 2026 Team faisalm3at SemEval-2026 Task 3: From Standard Regression to Distributional Alignment in Dimensional Sentiment Analysis SemEval 2026 Team HausaNLP at SemEval-2026 Task 4: Narratives via Semantic Embeddings SemEval 2026 Team HITS at SemEval-2026 Task 4:Enhancing narrative text embedding model training with hard negatives generation and self-distillation SemEval 2026 Team hugang11 at SemEval-2026 Task 1, Subtask A (Chinese): A CoT-SFT, Teacher-Constructed DPO, and Deterministic Post-processing Pipeline for Humor Generation SemEval 2026 Team JAT at SemEval-2026 Task 9: Enhancing Polarization Detection with Cross-Lingual Transfer and Feature Fusion SemEval 2026 TeamOmega at SemEval-2026 Task 13: Frozen vs. Trainable Representations for Out-of-Distribution AI-Generated Code Detection: A CodeBERT Fine-Tuning Study SemEval 2026 Team TüLK at SemEval-2026 Task 1: Humor Generation with Qwen and Group Relative Policy Optimization SemEval 2026 Team Vivek Dhayaal at SemEval-2026 Task 13 Subtask B: Multi-Class Authorship Detection SemEval 2026 Team VYN at SemEval-2026 Task 3: Dimensional Aspect-Based Sentiment Analysis SemEval 2026