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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)

SeCuRepair: Semantics-Aligned, Curriculum-Driven, and Reasoning-Enhanced Vulnerability Repair Framework ACL 2026 SeDev: Structured Semantic Exploration for LLM-Driven Code Generation ACL 2026 SED-SFT: Selectively Encouraging Diversity in Supervised Fine-Tuning ACL 2026 SeD-UD: An Influence-Driven and Hierarchically-Decoupled Information Bottleneck for Multimodal Intent Recognition CVPR 2026 See Further, Think Deeper: Advancing VLM's Reasoning Ability with Low-level Visual Cues and Reflection CVPR 2026 Seeing Beyond: Extrapolative Domain Adaptive Panoramic Segmentation CVPR 2026 Seeing Depth Through Frequency and Motion: A Progressive Training Paradigm for Monocular Depth Estimation CVPR 2026 Seeing is Improving: Visual Feedback for Iterative Text Layout Refinement CVPR 2026 Seeing Motion Through Polarity for Event-based Action Recognition CVPR 2026 Seeing Through the Shift: Causality-Inspired Robust Generalized Category Discovery CVPR 2026 Seeing Through Touch: Tactile-Driven Visual Localization of Material Regions CVPR 2026 Seeing without Pixels: Perception from Camera Trajectories CVPR 2026 See Through the Noise: Improving Domain Generalization in Gaze Estimation CVPR 2026 SegGBC: Justifiable Coarse-to-Fine Granular-Ball Computing for Enhancing Clustering Image Segmentation CVPR 2026 SegMango: Early Deep Mango Yield Prediction based on Flower Segmentation and Weather Data WACV 2026 Segmentation Fault at SemEval-2026 Task 13: A Regularization-First Approach with Generator-Based Out-of-Distribution Splits for Detecting AI-Generated Code SemEval 2026 SegTune: Structured and Fine-Grained Control for Song Generation ACL 2026 SeLaR: Selective Latent Reasoning in Large Language Models ACL 2026 Select Before Use: On the Importance of Reference Model Selection in Preference Alignment ACL 2026 Selective Amnesia using Contrastive Subnet Erasure for Class Level Unlearning in Vision Models CVPR 2026 Selective Contrastive Learning For Gloss Free Sign Language Translation ACL 2026 Selective Knowledge Distillation: Fusing LLM Semantic Strengths with DNN Efficiency for Binary Code Similarity Detection ACL 2026 Selectively Extracting and Injecting Visual Attributes into Text-to-Image Models CVPR 2026 Selective, Regularized, and Calibrated: Harnessing Vision Foundation Models for Cross-Domain Few-Shot Semantic Segmentation CVPR 2026 Selective Span-Level Unlearning for Large Language Models ACL 2026