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)
TraceEvader: Making DeepFakes More Untraceable via Evading the Forgery Model Attribution
AAAI 2024
Trace-of-Thought Prompting: Investigating Prompt-Based Knowledge Distillation Through Question Decomposition
ACL 2024
Tracking linguistic information in transformer-based sentence embeddings through targeted sparsification
ACL 2024
Trade-Offs in Fine-Tuned Diffusion Models between Accuracy and Interpretability
AAAI 2024
Train-Attention: Meta-Learning Where to Focus in Continual Knowledge Learning
NeurIPS 2024
Training and Fine-Tuning NMT Models for Low-Resource Languages Using Apertium-Based Synthetic Corpora
EMNLP 2024
Training Data Attribution via Approximate Unrolling
NeurIPS 2024
Training Diffusion Models Towards Diverse Image Generation with Reinforcement Learning
CVPR 2024
Training Dynamics of Multi-Head Softmax Attention for In-Context Learning: Emergence, Convergence, and Optimality (extended abstract)
COLT 2024
Training-free Deep Concept Injection Enables Language Models for Video Question Answering
EMNLP 2024
Training-Free Object Counting With Prompts
WACV 2024
Training Generative Image Super-Resolution Models by Wavelet-Domain Losses Enables Better Control of Artifacts
CVPR 2024
Training Graph Transformers via Curriculum-Enhanced Attention Distillation
ICLR 2024
Training Implicit Generative Models via an Invariant Statistical Loss
AISTATS 2024
Training Language Models to Generate Text with Citations via Fine-grained Rewards
ACL 2024
Train Once, Use Flexibly: A Modular Framework for Multi-Aspect Neural News Recommendation
EMNLP 2024
TrajCLIP: Pedestrian trajectory prediction method using contrastive learning and idempotent networks
NeurIPS 2024
Transcendence: Generative Models Can Outperform The Experts That Train Them
NeurIPS 2024
Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection
CVPR 2024
Transcoders find interpretable LLM feature circuits
NeurIPS 2024
Transcriptomics-guided Slide Representation Learning in Computational Pathology
CVPR 2024
TransFace: Unit-Based Audio-Visual Speech Synthesizer for Talking Head Translation
ACL 2024
Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness
NeurIPS 2024
Transferable Adversarial Attacks for Object Detection Using Object-Aware Significant Feature Distortion
AAAI 2024
Transferable Adversarial Attacks on SAM and Its Downstream Models
NeurIPS 2024