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)
AnyPlace: Learning Generalizable Object Placement for Robot Manipulation
CoRL 2025
AnyPortal: Zero-Shot Consistent Video Background Replacement
ICCV 2025
Any-Resolution AI-Generated Image Detection by Spectral Learning
CVPR 2025
AnySat: One Earth Observation Model for Many Resolutions, Scales, and Modalities
CVPR 2025
AnyTalk: Multi-modal Driven Multi-domain Talking Head Generation
AAAI 2025
Anytime Safe Reinforcement Learning
L4DC 2025
AoP-SAM: Automation of Prompts for Efficient Segmentation
AAAI 2025
A Parallelized Framework for Simulating Large-Scale LLM Agents with Realistic Environments and Interactions
ACL 2025
A Parameter-Efficient and Fine-Grained Prompt Learning for Vision-Language Models
ACL 2025
APAR: Modeling Irregular Target Functions in Tabular Regression via Arithmetic-Aware Pre-Training and Adaptive-Regularized Fine-Tuning
AAAI 2025
A Peer-review Look on Multi-modal Clustering: An Information Bottleneck Realization Method
ICML 2025
A Perspective on LLM Data Generation with Few-shot Examples: from Intent to Kubernetes Manifest
ACL 2025
APIRL: Deep Reinforcement Learning for REST API Fuzzing
AAAI 2025
APKGC: Noise-enhanced Multi-Modal Knowledge Graph Completion with Attention Penalty
AAAI 2025
A Plug-and-Play Bregman ADMM Module for Inferring Event Branches in Temporal Point Processes
AAAI 2025
Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series Forecasting
AAAI 2025
Application of Structured State Space Models to High energy physics with locality sensitive hashing
AISTATS 2025
Apply Hierarchical-Chain-of-Generation to Complex Attributes Text-to-3D Generation
CVPR 2025
Approximated Variational Bayesian Inverse Reinforcement Learning for Large Language Model Alignment
AAAI 2025
A Practical Analysis of Human Alignment with *PO
NAACL 2025
A Practitioner’s Guide to Building ASR Models for Low-Resource Languages: A Case Study on Scottish Gaelic
Interspeech 2025
APR-RD: Complemental Two Steps for Self-Supervised Real Image Denoising
AAAI 2025
APT: Adaptive Personalized Training for Diffusion Models with Limited Data
CVPR 2025
APTTS: Adversarial Post-training in Latent Flow Matching for Fast and High-fidelity Text-to-Speech
Interspeech 2025
AQUAFace: Age-Invariant Quality Adaptive Face Recognition for Unconstrained Selfie vs ID Verification
AAAI 2025