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)
Universal Semantic Disentangled Privacy-preserving Speech Representation Learning
Interspeech 2025
Universal Speech Enhancement with Regression and Generative Mamba
Interspeech 2025
Uni-VERSA: Versatile Speech Assessment with a Unified Network
Interspeech 2025
University of Indonesia at SemEval-2025 Task 11: Evaluating State-of-the-Art Encoders for Multi-Label Emotion Detection
SemEval 2025
Unknown Text Learning for CLIP-based Few-Shot Open-set Recognition
ICCV 2025
Unlearning Backdoor Attacks for LLMs with Weak-to-Strong Knowledge Distillation
ACL 2025
Unlearning Concepts in Diffusion Model via Concept Domain Correction and Concept Preserving Gradient
AAAI 2025
Unlearning LLM-Based Speech Recognition Models
Interspeech 2025
Unleashing Potentials of Vision-Language Models for Zero-Shot HOI Detection
WACV 2025
Unleashing the Potential of Consistency Learning for Detecting and Grounding Multi-Modal Media Manipulation
CVPR 2025
Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers
AAAI 2025
Unleashing the Potential of Model Bias for Generalized Category Discovery
AAAI 2025
Unleashing the Power of Visual Foundation Models for Generalizable Semantic Segmentation
AAAI 2025
Unlocking Generalization Power in LiDAR Point Cloud Registration
CVPR 2025
Unlocking the Power of Patch: Patch-Based MLP for Long-Term Time Series Forecasting
AAAI 2025
Unlocking the Power of Rehearsal in Continual Learning: A Theoretical Perspective
ICML 2025
Unlocking the Power of SAM 2 for Few-Shot Segmentation
ICML 2025
Unmasking real-world audio deepfakes: A data-centric approach
Interspeech 2025
unMORE: Unsupervised Multi-Object Segmentation via Center-Boundary Reasoning
ICML 2025
Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging
ACL 2025
Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization
CVPR 2025
Unraveling the Mechanics of Learning-Based Demonstration Selection for In-Context Learning
ACL 2025
Unstructured Evidence Attribution for Long Context Query Focused Summarization
EMNLP 2025
Unsupervised Anomaly Detection for Tabular Data Using Deep Noise Evaluation
AAAI 2025
Unsupervised Audio-Visual Segmentation with Modality Alignment
AAAI 2025