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)
SynTab-LLaVA: Enhancing Multimodal Table Understanding with Decoupled Synthesis
CVPR 2025
SyntaxMind at SemEval-2025 Task 11: BERT Base Multi-label Emotion Detection Using Gated Recurrent Unit
SemEval 2025
Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications
ACL 2025
Synthesizing Near-Boundary OOD Samples for Out-of-Distribution Detection
ICCV 2025
Synthesizing Post-Training Data for LLMs through Multi-Agent Simulation
ACL 2025
Synthetic Data Generated from CT Scans for Patient Pose Assessment
MIDL 2025
Synthetic Data Generation for Phrase Break Prediction with Large Language Model
Interspeech 2025
Synthetic Data in the Era of Large Language Models
ACL 2025
Synthetic Data is an Elegant GIFT for Continual Vision-Language Models
CVPR 2025
Synthetic Dysarthric Speech: A Supplement, Not a Substitute for Authentic Data in Dysarthric Speech Recognition
Interspeech 2025
Synthetic Speech Source Tracing using Metric Learning
Interspeech 2025
Synthetic-to-Real Self-supervised Robust Depth Estimation via Learning with Motion and Structure Priors
CVPR 2025
SYSTRAN @ IWSLT 2025 Low-resource track
ACL 2025
SYSTRAN @ WMT 2025 General Translation Task
EMNLP 2025
SYSUpporter Team at BEA 2025 Shared Task: Class Compensation and Assignment Optimization for LLM-generated Tutor Identification
ACL 2025
T2A-Feedback: Improving Basic Capabilities of Text-to-Audio Generation via Fine-grained AI Feedback
ACL 2025
T2ICount: Enhancing Cross-modal Understanding for Zero-Shot Counting
CVPR 2025
T2V2: A Unified Non-Autoregressive Model for Speech Recognition and Synthesis via Multitask Learning
ICLR 2025
T2V-CompBench: A Comprehensive Benchmark for Compositional Text-to-video Generation
CVPR 2025
TableCoder: Table Extraction from Text via Reliable Code Generation
ACL 2025
Table-LLM-Specialist: Language Model Specialists for Tables using Iterative Fine-tuning
EMNLP 2025
TableLoRA: Low-rank Adaptation on Table Structure Understanding for Large Language Models
ACL 2025
TablePilot: Recommending Human-Preferred Tabular Data Analysis with Large Language Models
ACL 2025
Table-R1: Inference-Time Scaling for Table Reasoning Tasks
EMNLP 2025
Tackling Data Corruption in Offline Reinforcement Learning via Sequence Modeling
ICLR 2025