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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)

E-RayZer: Self-supervised 3D Reconstruction as Spatial Visual Pre-training CVPR 2026 ERCThinker: Fast-Slow Thinking for Emotion Recognition in Conversation ACL 2026 EReCu: Pseudo-label Evolution Fusion and Refinement with Multi-Cue Learning for Unsupervised Camouflage Detection CVPR 2026 ERMoE: Eigen-Reparameterized Mixture-of-Experts for Stable Routing and Interpretable Specialization CVPR 2026 Error Analyses of Auto-Regressive Video Diffusion Models JMLR 2026 ES4MLL at SemEval-2026 Task 2: Set Attention Aggregation and Recurrent Temporal Modeling for Longitudinal Affect Prediction SemEval 2026 Estimating Interventional Outcomes over Time with Causal Normalizing Flow UAI 2026 ET-Agent: Incentivizing Effective Tool-Integrated Reasoning Agent via Behavior Calibration ACL 2026 EthoCLIP: Ontology-Enhanced Video-Language Pretraining for Animal Behavior Understanding CVPR 2026 ETR: Entropy Trend Reward for Efficient Chain-of-Thought Reasoning ACL 2026 Evaluating the Expressive Appropriateness of Speech in Rich Contexts ACL 2026 Evaluating the Role of Great Pre-trained Diffusion Models in Few-shot Phase: Warm-up and Acceleration UAI 2026 Event-based Motion Deblurring with Unpaired Data CVPR 2026 EventHub: Data Factory for Generalizable Event-Based Stereo Networks without Active Sensors CVPR 2026 Event-Illumination Collaborative Low-light Image Enhancement with a High-resolution Real-world Dataset CVPR 2026 Every Error has Its Magnitude: Asymmetric Mistake Severity Training for Multiclass Multiple Instance Learning CVPR 2026 EVIA: Entropic Variational Inference Auto-encoding UAI 2026 Evidential DualU-Net: Single-Pass Uncertainty for Cell Instance Segmentation MIDL 2026 Evidential Neural Radiance Fields CVPR 2026 Evidential Retriever: Uncertainty-Aware Medical Image Retrieval MIDL 2026 Evidential Transformation Network: Turning Pretrained Models into Evidential Models for Post-hoc Uncertainty Estimation CVPR 2026 Evo-Attacker: Memory-Augmented Reinforcement Learning for Long-Horizon Tool Attacks on LLM-MAS ACL 2026 EvoID: Reinforced Evolution for Identity-Preserving Video Generation CVPR 2026 Evolutionary Guided Decoding: Iterative Value Refinement for LLMs ACL 2026 Evolutionary Negative Module Pruning for Better LoRA Merging ACL 2026