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
'15
'20
'25
Papers (including subtopics)
Rhythm Controllable and Efficient Zero-Shot Voice Conversion via Shortcut Flow Matching
ACL 2025
RICO: Improving Accuracy and Completeness in Image Recaptioning via Visual Reconstruction
EMNLP 2025
Riemann$^2$: Learning Riemannian Submanifolds from Riemannian Data
AISTATS 2025
Riemann-based Multi-scale Attention Reasoning Network for Text-3D Retrieval
AAAI 2025
Right Time to Learn: Promoting Generalization via Bio-inspired Spacing Effect in Knowledge Distillation
ICML 2025
RI-MAE: Rotation-Invariant Masked AutoEncoders for Self-Supervised Point Cloud Representation Learning
AAAI 2025
RiOT: Efficient Prompt Refinement with Residual Optimization Tree
ACL 2025
RITT: A Retrieval-Assisted Framework with Image and Text Table Representations for Table Question Answering
ACL 2025
RLAIF-V: Open-Source AI Feedback Leads to Super GPT-4V Trustworthiness
CVPR 2025
RLHF Algorithms Ranked: An Extensive Evaluation Across Diverse Tasks, Rewards, and Hyperparameters
EMNLP 2025
RLMiniStyler: Light-weight RL Style Agent for Arbitrary Sequential Neural Style Generation
IJCAI 2025
R-LoRA: Randomized Multi-Head LoRA for Efficient Multi-task Learning
EMNLP 2025
RLPF: Reinforcement Learning from Prediction Feedback for User Summarization with LLMs
AAAI 2025
RL-RC-DoT: A Block-level RL agent for Task-Aware Video Compression
CVPR 2025
RMoA: Optimizing Mixture-of-Agents through Diversity Maximization and Residual Compensation
ACL 2025
RMultiplex200K: Toward Reliable Multimodal Process Supervision for Visual Language Models on Telecommunications
ICCV 2025
RNNs are not Transformers (Yet): The Key Bottleneck on In-Context Retrieval
ICLR 2025
RoboBrain: A Unified Brain Model for Robotic Manipulation from Abstract to Concrete
CVPR 2025
RoBridge: A Hierarchical Architecture Bridging Cognition and Execution for General Robotic Manipulation
ICCV 2025
Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport
ICLR 2025
Robust Classification by Coupling Data Mollification with Label Smoothing
AISTATS 2025
Robust Dataset Condensation using Supervised Contrastive Learning
ICCV 2025
Robust Detection of Persuasion Techniques in Slavic Languages via Multitask Debiasing and Walking Embeddings
ACL 2025
Robust fine-tuning of speech recognition models via model merging: application to disordered speech
Interspeech 2025
Robust Graph Based Social Recommendation Through Contrastive Multi-View Learning
AAAI 2025