Skip to content
conftrace_

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

38
179
3,018
5,737
'10
'15
'20
'25

Papers (including subtopics)

Towards Scale-Free Rain Streak Removal via Self-Supervised Fractal Band Learning AAAI 2020 Towards Speech Robustness for Acoustic Scene Classification Interspeech 2020 Towards Transferable Targeted Attack CVPR 2020 Towards Transparent and Explainable Attention Models ACL 2020 Towards Understanding and Improving the Transferability of Adversarial Examples in Deep Neural Networks ACML 2020 Towards Universal Representation Learning for Deep Face Recognition CVPR 2020 Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis CVPR 2020 Towards Zero-Shot Conditional Summarization with Adaptive Multi-Task Fine-Tuning EMNLP 2020 Tracklet Self-Supervised Learning for Unsupervised Person Re-Identification AAAI 2020 Train in Germany, Test in the USA: Making 3D Object Detectors Generalize CVPR 2020 Training Flexible Depth Model by Multi-Task Learning for Neural Machine Translation EMNLP 2020 Training for Gibbs Sampling on Conditional Random Fields with Neural Scoring Factors EMNLP 2020 Training Generative Adversarial Networks with Limited Data NeurIPS 2020 Training Linear Finite-State Machines NeurIPS 2020 Training Noise-Robust Deep Neural Networks via Meta-Learning CVPR 2020 Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification NeurIPS 2020 Training with Noise Adversarial Network: A Generalization Method for Object Detection on Sonar Image WACV 2020 Transductive Ensemble Learning for Neural Machine Translation AAAI 2020 Transferable Calibration with Lower Bias and Variance in Domain Adaptation NeurIPS 2020 Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking CVPR 2020 Transfer Learning Approaches for Streaming End-to-End Speech Recognition System Interspeech 2020 Transfer Learning for Related Languages: Submissions to the WMT20 Similar Language Translation Task EMNLP 2020 Transfer Learning From Synthetic to Real-Noise Denoising With Adaptive Instance Normalization CVPR 2020 Transfer Learning via ℓ_1 Regularization NeurIPS 2020 Transferring Cross-Domain Knowledge for Video Sign Language Recognition CVPR 2020