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Learning Types

32,670 papers (1 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

38
179
3,018
5,737
'10
'15
'20
'25

Papers (including subtopics)

Adversarial-Inspired Backdoor Defense via Bridging Backdoor and Adversarial Attacks AAAI 2025 Adversarial Learning Under Hybrid Perturbations for Robust Acute Lymphoblastic Leukemia Classification AAAI 2025 Adversarially Robust Anomaly Detection through Spurious Negative Pair Mitigation ICLR 2025 Adversarial Perturbations Improve Generalization of Confidence Prediction in Medical Image Segmentation MIDL 2025 Adversarial Preference Learning for Robust LLM Alignment ACL 2025 Adversarial Reconstruction Feedback for Robust Fine-grained Generalization ICCV 2025 Adversarial Robustness of Discriminative Self-Supervised Learning in Vision ICCV 2025 Adversarial Training May Induce Deteriorating Distributions UAI 2025 Adversary-Aware DPO: Enhancing Safety Alignment in Vision Language Models via Adversarial Training EMNLP 2025 AdvERSEM: Adversarial Robustness Testing and Training of LLM-based Groundedness Evaluators via Semantic Structure Manipulation EMNLP 2025 Adversity-aware Few-shot Named Entity Recognition via Augmentation Learning AAAI 2025 A Dynamic Penalization Framework for Online Rank-1 Semidefinite Programming Relaxations L4DC 2025 Aerodynamic Coefficients Prediction via Cross-Attention Fusion and Physical-Informed Training AAAI 2025 AeroGTO: An Efficient Graph-Transformer Operator for Learning Large-Scale Aerodynamics of 3D Vehicle Geometries AAAI 2025 Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization CVPR 2025 AesthetiQ: Enhancing Graphic Layout Design via Aesthetic-Aware Preference Alignment of Multi-modal Large Language Models CVPR 2025 AFFAKT: A Hierarchical Optimal Transport Based Method for Affective Facial Knowledge Transfer in Video Deception Detection AAAI 2025 Affirm: Interactive Mamba with Adaptive Fourier Filters for Long-term Time Series Forecasting AAAI 2025 AFiRe: Anatomy-Driven Self-Supervised Learning for Fine-Grained Representation in Radiographic Images AAAI 2025 AFL: A Single-Round Analytic Approach for Federated Learning with Pre-trained Models CVPR 2025 A Framework for Flexible Extraction of Clinical Event Contextual Properties from Electronic Health Records ACL 2025 A Framework for Large-Scale Parallel Corpus Evaluation: Ensemble Quality Estimation Models Versus Human Assessment ACL 2025 AfriHuBERT: A self-supervised speech representation model for African languages Interspeech 2025 A Gaussian Filter-Based 3D Registration Method for Series Section Electron Microscopy AAAI 2025 AGD: Adversarial Game Defense Against Jailbreak Attacks in Large Language Models ACL 2025