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)
TopoSlide: Topologically-Informed Histopathology Whole Slide Image Representation Learning
CVPR 2026
To Think or Not to Think: The Hidden Cost of Meta-Training with Excessive CoT Examples
ACL 2026
Toward Diffusible High-Dimensional Latent Spaces: A Frequency Perspective
CVPR 2026
Toward Real-world Infrared Image Super-Resolution: A Unified Autoregressive Framework and Benchmark Dataset
CVPR 2026
Toward Robust In-Context Learning: Leveraging Out-of-distribution Proxies for Target Inaccessible Demonstration Retrieval
ACL 2026
Towards an Incremental Unified Multimodal Anomaly Detection: Augmenting Multimodal Denoising From an Information Bottleneck Perspective
CVPR 2026
Towards Balanced Multi-Modal Learning in 3D Human Pose Estimation
CVPR 2026
Towards Calibrating Prompt Tuning of Vision- Language Models
CVPR 2026
Towards Decompositional Human Motion Generation with Energy-Based Diffusion Models
CVPR 2026
Towards Dynamic Modality Alignment in Multimodal Continual Learning
CVPR 2026
Toward Secure Tuning: Mitigating Security Risks from Instruction Fine-Tuning
ACL 2026
Towards Effective Surgical Representation Learning with DINO Models
MIDL 2026
Towards Efficient Medical Reasoning with Minimal Fine-Tuning Data
CVPR 2026
Towards Faithful Industrial RAG: A Reinforced Co-adaptation Framework for Advertising QA
ACL 2026
Towards Fine-Grained and Multi-Granular Contrastive Language-Speech Pre-training
ACL 2026
Towards Fine-Grained Attribution: Instance-Aware Preference Optimization for Aligning Diffusion Models
CVPR 2026
Towards Foundation Models for 3D Scene Understanding: Instance-Aware Self-Supervised Learning for Point Clouds
CVPR 2026
Towards Generalizable AI-Generated Image Detection via Image-Adaptive Prompt Learning
CVPR 2026
Towards Generalized Multimodal Homography Estimation
CVPR 2026
Towards Generalized Representations for Low-Light Understanding: When Signal Constancy Meets Semantic Enrichment
CVPR 2026
Towards High-Fidelity, Identity-Preserving Real-Time Makeup Transfer: Decoupling Style Generation
WACV 2026
Towards High-resolution and Disentangled Reference-based Sketch Colorization
CVPR 2026
Towards Modality-Agnostic Continual Domain-Incremental Brain Lesion Segmentation
MIDL 2026
Towards Multimodal Domain Generalization with Few Labels
CVPR 2026
Towards Privacy-Preserving Large Language Model: Text-free Inference Through Alignment and Adaptation
ACL 2026