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)
TripletCLIP: Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives
NeurIPS 2024
Trusted Multi-view Learning with Label Noise
IJCAI 2024
Trustful LLMs: Customizing and Grounding Text Generation with knowledge bases and Dual Decoders
EMNLP 2024
Trust in Internal or External Knowledge? Generative Multi-Modal Entity Linking with Knowledge Retriever
ACL 2024
Trustless Audits without Revealing Data or Models
ICML 2024
TSMCR: Two-stage Supervised Multi-modality Contrastive Representation for Ultrasound-based Breast Cancer Diagnosis
ACML 2024
TSU HITS’s Submissions to the WMT 2024 General Machine Translation Shared Task
EMNLP 2024
TTA-EVF: Test-Time Adaptation for Event-based Video Frame Interpolation via Reliable Pixel and Sample Estimation
CVPR 2024
TTTS: Tree Test Time Simulation for Enhancing Decision Tree Robustness against Adversarial Examples
AAAI 2024
TULIP: Multi-camera 3D Precision Assessment of Parkinson's Disease
CVPR 2024
Tunable Hybrid Proposal Networks for the Open World
WACV 2024
TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks
NeurIPS 2024
Tuning LayerNorm in Attention: Towards Efficient Multi-Modal LLM Finetuning
ICLR 2024
Tuning LLMs with Contrastive Alignment Instructions for Machine Translation in Unseen, Low-resource Languages
ACL 2024
Tuning Stable Rank Shrinkage: Aiming at the Overlooked Structural Risk in Fine-tuning
CVPR 2024
TurkishMMLU: Measuring Massive Multitask Language Understanding in Turkish
EMNLP 2024
Turning Dust into Gold: Distilling Complex Reasoning Capabilities from LLMs by Leveraging Negative Data
AAAI 2024
Turning English-centric LLMs Into Polyglots: How Much Multilinguality Is Needed?
EMNLP 2024
Turning Waste into Wealth: Leveraging Low-Quality Samples for Enhancing Continuous Conditional Generative Adversarial Networks
AAAI 2024
Tutor-ICL: Guiding Large Language Models for Improved In-Context Learning Performance
EMNLP 2024
T-VSL: Text-Guided Visual Sound Source Localization in Mixtures
CVPR 2024
TV-TREES: Multimodal Entailment Trees for Neuro-Symbolic Video Reasoning
EMNLP 2024
Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging
NeurIPS 2024
Two Heads are Actually Better than One: Towards Better Adversarial Robustness via Transduction and Rejection
ICML 2024
Two Issues with Chinese Spelling Correction and A Refinement Solution
ACL 2024