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 Personalized Review Summarization via User-Aware Sequence Network AAAI 2019 Towards Reliable Learning for High Stakes Applications AAAI 2019 Towards Rich Feature Discovery With Class Activation Maps Augmentation for Person Re-Identification CVPR 2019 Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications ACL 2019 Towards Scene Understanding: Unsupervised Monocular Depth Estimation With Semantic-Aware Representation CVPR 2019 Towards Universal Object Detection by Domain Attention CVPR 2019 Towards VQA Models That Can Read CVPR 2019 Towards Zero-shot Language Modeling EMNLP 2019 Tracing Antisemitic Language Through Diachronic Embedding Projections: France 1789-1914 ACL 2019 Tracking Logical Difference in Large-Scale Ontologies: A Forgetting-Based Approach AAAI 2019 Training a Spiking Neural Network with Equilibrium Propagation AISTATS 2019 Training Deep Learning Based Image Denoisers From Undersampled Measurements Without Ground Truth and Without Image Prior CVPR 2019 Training Deep Neural Networks in Generations: A More Tolerant Teacher Educates Better Students AAAI 2019 Training Hybrid Language Models by Marginalizing over Segmentations ACL 2019 Training Image Estimators without Image Ground Truth NeurIPS 2019 Training Language GANs from Scratch NeurIPS 2019 Training Neural Machine Translation to Apply Terminology Constraints ACL 2019 Training Neural Response Selection for Task-Oriented Dialogue Systems ACL 2019 TransConv: Relationship Embedding in Social Networks AAAI 2019 Transductive Auxiliary Task Self-Training for Neural Multi-Task Models EMNLP 2019 Transductive Learning of Neural Language Models for Syntactic and Semantic Analysis EMNLP 2019 Transductive Zero-Shot Learning via Visual Center Adaptation AAAI 2019 Transferable Curriculum for Weakly-Supervised Domain Adaptation AAAI 2019 Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning EMNLP 2019 Transferable Interactiveness Knowledge for Human-Object Interaction Detection CVPR 2019