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)
Unveiling the Role of Pretraining in Direct Speech Translation
EMNLP 2024
Unveiling the Truth and Facilitating Change: Towards Agent-based Large-scale Social Movement Simulation
ACL 2024
UOR: Universal Backdoor Attacks on Pre-trained Language Models
ACL 2024
Updating CLIP to Prefer Descriptions Over Captions
EMNLP 2024
Upper Bounding Barlow Twins: A Novel Filter for Multi-Relational Clustering
AAAI 2024
Urban Region Embedding via Multi-View Contrastive Prediction
AAAI 2024
URG: A Unified Ranking and Generation Method for Ensembling Language Models
ACL 2024
USCILab3D: A Large-scale, Long-term, Semantically Annotated Outdoor Dataset
NeurIPS 2024
User Inference Attacks on Large Language Models
EMNLP 2024
Using Natural Language Explanations to Improve Robustness of In-context Learning
ACL 2024
Using wav2vec 2.0 for phonetic classification tasks: methodological aspects
Interspeech 2024
Utilizing an Ensemble Model with Anomalous Label Smoothing to Detect Generated Scientific Papers
ACL 2024
Utilizing Image Transforms and Diffusion Models for Generative Modeling of Short and Long Time Series
NeurIPS 2024
UTRad-NLP at #SMM4H 2024: Why LLM-Generated Texts Fail to Improve Text Classification Models
ACL 2024
UVAGaze: Unsupervised 1-to-2 Views Adaptation for Gaze Estimation
AAAI 2024
U-VAP: User-specified Visual Appearance Personalization via Decoupled Self Augmentation
CVPR 2024
UVEB: A Large-scale Benchmark and Baseline Towards Real-World Underwater Video Enhancement
CVPR 2024
V2Meow: Meowing to the Visual Beat via Video-to-Music Generation
AAAI 2024
VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection
AAAI 2024
Value Alignment from Unstructured Text
EMNLP 2024
Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties
AAAI 2024
ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation
ICLR 2024
Variance-Insensitive and Target-Preserving Mask Refinement for Interactive Image Segmentation
AAAI 2024
Variational Distillation of Diffusion Policies into Mixture of Experts
NeurIPS 2024
VCoder: Versatile Vision Encoders for Multimodal Large Language Models
CVPR 2024