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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)

MapExpert: Online HD Map Construction with Simple and Efficient Sparse Map Element Expert AAAI 2025 MAPF-GPT: Imitation Learning for Multi-Agent Pathfinding at Scale AAAI 2025 MAPLE: Enhancing Review Generation with Multi-Aspect Prompt LEarning in Explainable Recommendation ACL 2025 MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation ICLR 2025 Mapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language Models AAAI 2025 Mapping Smarter, Not Harder: A Test-Time Reinforcement Learning Agent That Improve Without Labels or Model Updates EMNLP 2025 MAPS: Motivation-Aware Personalized Search via LLM-Driven Consultation Alignment ACL 2025 Marcel: A Lightweight and Open-Source Conversational Agent for University Student Support EMNLP 2025 Marco Large Translation Model at WMT2025: Transforming Translation Capability in LLMs via Quality-Aware Training and Decoding EMNLP 2025 MaRI: Material Retrieval Integration across Domains CVPR 2025 MARS: Mixture of Auto-Regressive Models for Fine-grained Text-to-image Synthesis AAAI 2025 Marten: Visual Question Answering with Mask Generation for Multi-modal Document Understanding CVPR 2025 Mask-Adapter: The Devil is in the Masks for Open-Vocabulary Segmentation CVPR 2025 MaskDGNN: Self-Supervised Dynamic Graph Neural Networks with Activeness-aware Temporal Masking IJCAI 2025 Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling ICLR 2025 Masked Language Modeling Becomes Conditional Density Estimation for Tabular Data Synthesis AAAI 2025 Masked Scene Modeling: Narrowing the Gap Between Supervised and Self-Supervised Learning in 3D Scene Understanding CVPR 2025 Masking in Multi-hop QA: An Analysis of How Language Models Perform with Context Permutation ACL 2025 Masking meets Supervision: A Strong Learning Alliance CVPR 2025 MaskPrompt: Open-Vocabulary Affordance Segmentation with Object Shape Mask Prompts AAAI 2025 MaskTwins: Dual-form Complementary Masking for Domain-Adaptive Image Segmentation ICML 2025 Massively Multilingual Instruction-Following Information Extraction ACL 2025 Massive Supervised Fine-tuning Experiments Reveal How Data, Layer, and Training Factors Shape LLM Alignment Quality EMNLP 2025 Mastering Collaborative Multi-modal Data Selection: A Focus on Informativeness, Uniqueness, and Representativeness ICCV 2025 MASV: Speaker Verification with Global and Local Context Mamba Interspeech 2025