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
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'25
Papers (including subtopics)
Tackling Dimensional Collapse toward Comprehensive Universal Domain Adaptation
ICML 2025
Tackling Intertwined Data and Device Heterogeneities in Federated Learning with Unlimited Staleness
AAAI 2025
Tackling Long-Tailed Data Challenges in Spiking Neural Networks via Heterogeneous Knowledge Distillation
IJCAI 2025
Tackling Low-Resource NMT with Instruction-Tuned LLaMA: A Study on Kokborok and Bodo
EMNLP 2025
TACO: Enhancing Multimodal In-context Learning via Task Mapping-Guided Sequence Configuration
EMNLP 2025
TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning
ACL 2025
Tactile Beyond Pixels: Multisensory Touch Representations for Robot Manipulation
CoRL 2025
TADA: Training-free Attribution and Out-of-Domain Detection of Audio Deepfakes
Interspeech 2025
TAEGAN: Revisit GANs for Tabular Data Generation
ACML 2025
TAGA: Self-supervised Learning for Template-free Animatable Gaussian Articulated Model
CVPR 2025
Tagging-Augmented Generation: Assisting Language Models in Finding Intricate Knowledge In Long Contexts
EMNLP 2025
TailedCore: Few-Shot Sampling for Unsupervised Long-Tail Noisy Anomaly Detection
CVPR 2025
Tailoring Mixup to Data for Calibration
ICLR 2025
Take the Bull by the Horns: Learning to Segment Hard Samples
CVPR 2025
Takin-VC: Expressive Zero-Shot Voice Conversion via Adaptive Hybrid Content Encoding and Enhanced Timbre Modeling
ACL 2025
Talking to DINO: Bridging Self-Supervised Vision Backbones with Language for Open-Vocabulary Segmentation
ICCV 2025
TamedPUMA: safe and stable imitation learning with geometric fabrics
L4DC 2025
Taming Teacher Forcing for Masked Autoregressive Video Generation
CVPR 2025
Taming Video Diffusion Prior with Scene-Grounding Guidance for 3D Gaussian Splatting from Sparse Inputs
CVPR 2025
TAMP: Token-Adaptive Layerwise Pruning in Multimodal Large Language Models
ACL 2025
TaoAvatar: Real-Time Lifelike Full-Body Talking Avatars for Augmented Reality via 3D Gaussian Splatting
CVPR 2025
TAPT: Test-Time Adversarial Prompt Tuning for Robust Inference in Vision-Language Models
CVPR 2025
Target-Augmented Shared Fusion-based Multimodal Sarcasm Explanation Generation
NAACL 2025
Target Bias Is All You Need: Zero-Shot Debiasing of Vision-Language Models with Bias Corpus
ICCV 2025
Target-Driven Distillation: Consistency Distillation with Target Timestep Selection and Decoupled Guidance
AAAI 2025