Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
You need to MIMIC to get FAME: Solving Meeting Transcript Scarcity with Multi-Agent Conversations
ACL 2025
You Only Read Once (YORO): Learning to Internalize Database Knowledge for Text-to-SQL
NAACL 2025
Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data
ICLR 2025
Your Finetuned Large Language Model is Already a Powerful Out-of-distribution Detector
AISTATS 2025
Your Language Model Can Secretly Write Like Humans: Contrastive Paraphrase Attacks on LLM-Generated Text Detectors
EMNLP 2025
Your Model is Overconfident, and Other Lies We Tell Ourselves
ACL 2025
Your Scale Factors are My Weapon: Targeted Bit-Flip Attacks on Vision Transformers via Scale Factor Manipulation
CVPR 2025
Your Semantic-Independent Watermark is Fragile: A Semantic Perturbation Attack against EaaS Watermark
EMNLP 2025
Your ViT is Secretly an Image Segmentation Model
CVPR 2025
You Shall Know a Word’s Difficulty by the Family It Keeps: Word Family Features in Personalised Word Difficulty Classifiers for L2 Spanish
ACL 2025
You Share Beliefs, I Adapt: Progressive Heterogeneous Collaborative Perception
ICCV 2025
Z1: Efficient Test-time Scaling with Code
EMNLP 2025
ZAPBench: A Benchmark for Whole-Brain Activity Prediction in Zebrafish
ICLR 2025
Zebra: In-Context Generative Pretraining for Solving Parametric PDEs
ICML 2025
ZEBRA: Leveraging Model-Behavioral Knowledge for Zero-Annotation Preference Dataset Construction
EMNLP 2025
ZEN: Empowering Distributed Training with Sparsity-driven Data Synchronization
OSDI 2025
ZERA: Zero-init Instruction Evolving Refinement Agent – From Zero Instructions to Structured Prompts via Principle-based Optimization
EMNLP 2025
ZeroComp: Zero-Shot Object Compositing from Image Intrinsics via Diffusion
WACV 2025
ZeroDiff: Solidified Visual-semantic Correlation in Zero-Shot Learning
ICLR 2025
ZeroGrasp: Zero-Shot Shape Reconstruction Enabled Robotic Grasping
CVPR 2025
ZeroHAR: Sensor Context Augments Zero-Shot Wearable Action Recognition
AAAI 2025
ZeroKey: Point-Level Reasoning and Zero-Shot 3D Keypoint Detection from Large Language Models
ICCV 2025
Zero-knowledge LLM hallucination detection and mitigation through fine-grained cross-model consistency
EMNLP 2025
ZeroMamba: Exploring Visual State Space Model for Zero-Shot Learning
AAAI 2025
Zero-shot 3D Question Answering via Voxel-based Dynamic Token Compression
CVPR 2025