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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)

Lakksh at SemEval-2026 Task 11(1 & 2): Neuro-Symbolic Decomposition to Mitigate Content Bias in Syllogistic Reasoning SemEval 2026 lamanhnguyen at SemEval-2026 Task 2: Uncovering Lexical Bias and Momentum Lag in Longitudinal Emotion Prediction using Multi-task DeBERTa SemEval 2026 LAMCL: A Length-aware Momentum Contrastive Learning Framework for Multiscale Machine-Revised Text Detection ACL 2026 LangPose: Language-Aligned Motion for Robust 3D Human Pose Estimation WACV 2026 Language Does Matter for Cross-Domain Few-Shot Visual Feature Enhancement CVPR 2026 Language-driven Fine-grained Retrieval CVPR 2026 Language-Free Generative Editing from One Visual Example CVPR 2026 Language-Grounded Decoupled Action Representation for Robotic Manipulation CVPR 2026 Language-guided Frequency Modulation for Large Vision-Language Models CVPR 2026 Language Models Struggle to Use Representations Learned In-Context ACL 2026 LAOF: Robust Latent Action Learning with Optical Flow Constraints CVPR 2026 Large Language Model-Enhanced Multi-Armed Bandits ACL 2026 Large Sign Language Models: Toward 3D American Sign Language Translation WACV 2026 LASAR: Towards Spatio-temporal Reasoning with Latent Cognitive Map CVPR 2026 LaS-Comp: Zero-shot 3D Completion with Latent-Spatial Consistency CVPR 2026 LATE-iimas at SemEval-2026 Task 10: Conspiracy Detection via DeBERTa-v3 Ensemble and Weighted Loss Optimization SemEval 2026 Latent Chain-of-Thought World Modeling for End-to-End Autonomous Driving CVPR 2026 LatentGate: Low-Latency Semantic Routing via Frozen-Backbone Probing of Small Language Models ACL 2026 Lattice at SemEval-2026 Task 1: Why did the prompt engineer break up with their LLM? Because zero-shot was zero-fun. SemEval 2026 LayoutAD: Exploring Semantic-Geometric Misalignment Reasoning for Scene Layout Anomaly Detection CVPR 2026 LCR-RAG: Enhancing Logical Consistency in Retrieval-Augmented Generation via Neuro-symbolic Reinforcement Learning ACL 2026 LEADER: Learning Reliable Local-to-Global Correspondences for LiDAR Relocalization CVPR 2026 LeapAlign: Post-training Flow Matching Models at Any Generation Step by Building Two-Step Trajectories CVPR 2026 LEAP: Layer-wise Exit-Aware Pretraining for Efficient Transformer Inference ACL 2026 Learnability-Guided Diffusion for Dataset Distillation CVPR 2026