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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)

Improving Text-to-Image Generation with Intrinsic Self-Confidence Rewards CVPR 2026 Improving the Convergence of Private Shuffled Gradient Methods with Public Data UAI 2026 ImReasoner: Improving Memory-based Language Models for Reasoning-in-a-Haystack Tasks ACL 2026 IMS3: Breaking Distributional Aggregation in Diffusion-Based Dataset Distillation CVPR 2026 Incentivizing DINOv3 Adaptation for Medical Vision Tasks via Feature Disentanglement MIDL 2026 Incentivizing Generative Zero-Shot Learning via Outcome-Reward Reinforcement Learning with Visual Cues CVPR 2026 Incentivizing Parametric Knowledge via Reinforcement Learning with Verifiable Rewards for Cross-Cultural Entity Translation ACL 2026 Incomplete In-context Learning ACL 2026 Incremental Object Detection via Future-Aware Decoupled Cross-Head Distillation CVPR 2026 Inferring Events from Time Series using Language Models ACL 2026 Influence-based Online Experience Selection for Effective RLHF ACL 2026 InnoAds-Composer: Efficient Condition Composition for E-Commerce Poster Generation CVPR 2026 In Pursuit of Pixel Supervision for Visual Pre-training CVPR 2026 INRetouch: Context Aware Implicit Neural Representation for Photography Retouching WACV 2026 Instant Personalized Large Language Model Adaptation via Hypernetwork ACL 2026 InstantRetouch: Efficient and High-Fidelity Instruction-Guided Image Retouching with Bilateral Space CVPR 2026 InstantViR: Real-Time Video Inverse Problem Solver with Distilled Diffusion Prior CVPR 2026 InstAP: Instance-Aware Vision-Language Pre-Train for Spatial-Temporal Understanding CVPR 2026 InstructDiff: Domain-Adaptive Data Selection via Contrastive Entropy for Efficient LLM Fine-Tuning ACL 2026 Instruction-Guided Lesion Segmentation for Chest X-rays with Automatically Generated Large-Scale Dataset CVPR 2026 InstructMix2Mix: Consistent Sparse-View Editing Through Multi-View Model Personalization CVPR 2026 Inter-Edit: First Benchmark for Interactive Instruction-Based Image Editing CVPR 2026 Interleaved Latent Visual Reasoning with Selective Perceptual Modeling ACL 2026 InternData-A1: Pioneering High-Fidelity Synthetic Data for Pre-training Generalist Policy CVPR 2026 InternVideo-Next: Towards World-Understanding Video Models CVPR 2026