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
1
22
25
29
26
38
46
60
109
129
179
310
686
1,294
2,286
3,018
3,254
3,930
4,067
4,819
5,737
2,605
'10
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'25
Papers (including subtopics)
Replacing Paths with Connection-Biased Attention for Knowledge Graph Completion
AAAI 2025
Representation of Perceived Prosodic Similarity of Conversational Feedback
Interspeech 2025
Representation Space Augmentation for Effective Self-Supervised Learning on Tabular Data
AAAI 2025
Representer Theorems for Metric and Preference Learning: Geometric Insights and Algorithms
AISTATS 2025
Representing Sounds as Neural Amplitude Fields: A Benchmark of Coordinate-MLPs and a Fourier Kolmogorov-Arnold Framework
AAAI 2025
Representing Speech Through Autoregressive Prediction of Cochlear Tokens
Interspeech 2025
REPRO-Bench: Can Agentic AI Systems Assess the Reproducibility of Social Science Research?
ACL 2025
Repurposing 2D Diffusion Models with Gaussian Atlas for 3D Generation
ICCV 2025
ResAdapter: Domain Consistent Resolution Adapter for Diffusion Models
AAAI 2025
ResCLIP: Residual Attention for Training-free Dense Vision-language Inference
CVPR 2025
Rescorla-Wagner Steering of LLMs for Undesired Behaviors over Disproportionate Inappropriate Context
EMNLP 2025
ReSeeding Latent States for Sequential Language Understanding
EMNLP 2025
ResidualViT for Efficient Temporally Dense Video Encoding
ICCV 2025
ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis
NAACL 2025
Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning
ICCV 2025
Responsive Dynamic Graph Disentanglement for Metro Flow Forecasting
AAAI 2025
Retaining Knowledge and Enhancing Long-Text Representations in CLIP through Dual-Teacher Distillation
CVPR 2025
Retention Score: Quantifying Jailbreak Risks for Vision Language Models
AAAI 2025
Rethinking Backdoor Detection Evaluation for Language Models
EMNLP 2025
Rethinking Few Shot CLIP Benchmarks: A Critical Analysis in the Inductive Setting
ICCV 2025
Rethinking High-speed Image Reconstruction Framework with Spike Camera
AAAI 2025
Rethinking Latent Redundancy in Behavior Cloning: An Information Bottleneck Approach for Robot Manipulation
ICML 2025
Rethinking Light Decoder-based Solvers for Vehicle Routing Problems
ICLR 2025
Rethinking Masked Data Reconstruction Pretraining for Strong 3D Action Representation Learning
AAAI 2025
Rethinking Multi-modal Object Detection from the Perspective of Mono-Modality Feature Learning
ICCV 2025