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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)

DebateCoder: Towards Collective Intelligence of LLMs via Test Case Driven LLM Debate for Code Generation ACL 2025 Debate Helps Weak-to-Strong Generalization AAAI 2025 Debiased Active Learning with Variational Gradient Rectifier AAAI 2025 Debiased All-in-one Image Restoration with Task Uncertainty Regularization AAAI 2025 Debiased Distillation for Consistency Regularization AAAI 2025 Debiasing Multimodal Large Language Models via Noise-Aware Preference Optimization CVPR 2025 Debiasing the Fine-Grained Classification Task in LLMs with Bias-Aware PEFT ACL 2025 Debiasing Trace Guidance: Top-down Trace Distillation and Bottom-up Velocity Alignment for Unsupervised Anomaly Detection ICCV 2025 Debunking with Dialogue? Exploring AI-Generated Counterspeech to Challenge Conspiracy Theories ACL 2025 DeCaf: A Causal Decoupling Framework for OOD Generalization on Node Classification AISTATS 2025 Decentralized Federated Learning with Model Caching on Mobile Agents AAAI 2025 Decentralized Low-Rank Fine-Tuning of Large Language Models ACL 2025 DecepBench: Benchmarking Multimodal Deception Detection ACL 2025 DECIDER: Difference-aware Contrastive Diffusion Model with Adversarial Perturbations for Image Change Captioning AAAI 2025 DeCo: Defect-Aware Modeling with Contrasting Matching for Optimizing Task Assignment in Online IC Testing IJCAI 2025 Decoder Gradient Shield: Provable and High-Fidelity Prevention of Gradient-Based Box-Free Watermark Removal CVPR 2025 Decoder-Only LLMs can be Masked Auto-Encoders ACL 2025 Decoding Actionability: A Computational Analysis of Teacher Observation Feedback ACL 2025 Decoding by Contrasting Knowledge: Enhancing Large Language Model Confidence on Edited Facts ACL 2025 Decoding Fatphobia: Examining Anti-Fat and Pro-Thin Bias in AI-Generated Images NAACL 2025 Decomposed Spatio-Temporal Mamba for Long-Term Traffic Prediction AAAI 2025 Decomposing and Fusing Intra- and Inter-Sensor Spatio-Temporal Signal for Multi-Sensor Wearable Human Activity Recognition AAAI 2025 Decomposition of Graphic Design with Unified Multimodal Model ICML 2025 DeCoRe: Decoding by Contrasting Retrieval Heads to Mitigate Hallucinations EMNLP 2025 DeCorrNet: Enhancing Neural Decoding Performance by Eliminating Correlations in Noise AAAI 2025