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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)

AnyPlace: Learning Generalizable Object Placement for Robot Manipulation CoRL 2025 AnyPortal: Zero-Shot Consistent Video Background Replacement ICCV 2025 Any-Resolution AI-Generated Image Detection by Spectral Learning CVPR 2025 AnySat: One Earth Observation Model for Many Resolutions, Scales, and Modalities CVPR 2025 AnyTalk: Multi-modal Driven Multi-domain Talking Head Generation AAAI 2025 Anytime Safe Reinforcement Learning L4DC 2025 AoP-SAM: Automation of Prompts for Efficient Segmentation AAAI 2025 A Parallelized Framework for Simulating Large-Scale LLM Agents with Realistic Environments and Interactions ACL 2025 A Parameter-Efficient and Fine-Grained Prompt Learning for Vision-Language Models ACL 2025 APAR: Modeling Irregular Target Functions in Tabular Regression via Arithmetic-Aware Pre-Training and Adaptive-Regularized Fine-Tuning AAAI 2025 A Peer-review Look on Multi-modal Clustering: An Information Bottleneck Realization Method ICML 2025 A Perspective on LLM Data Generation with Few-shot Examples: from Intent to Kubernetes Manifest ACL 2025 APIRL: Deep Reinforcement Learning for REST API Fuzzing AAAI 2025 APKGC: Noise-enhanced Multi-Modal Knowledge Graph Completion with Attention Penalty AAAI 2025 A Plug-and-Play Bregman ADMM Module for Inferring Event Branches in Temporal Point Processes AAAI 2025 Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series Forecasting AAAI 2025 Application of Structured State Space Models to High energy physics with locality sensitive hashing AISTATS 2025 Apply Hierarchical-Chain-of-Generation to Complex Attributes Text-to-3D Generation CVPR 2025 Approximated Variational Bayesian Inverse Reinforcement Learning for Large Language Model Alignment AAAI 2025 A Practical Analysis of Human Alignment with *PO NAACL 2025 A Practitioner’s Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic Interspeech 2025 APR-RD: Complemental Two Steps for Self-Supervised Real Image Denoising AAAI 2025 APT: Adaptive Personalized Training for Diffusion Models with Limited Data CVPR 2025 APTTS: Adversarial Post-training in Latent Flow Matching for Fast and High-fidelity Text-to-Speech Interspeech 2025 AQUAFace: Age-Invariant Quality Adaptive Face Recognition for Unconstrained Selfie vs ID Verification AAAI 2025