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

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

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Papers (including subtopics)

Erroneous data generation for Grammatical Error Correction ACL 2019 ESIR: End-To-End Scene Text Recognition via Iterative Image Rectification CVPR 2019 eTranslation’s Submissions to the WMT 2019 News Translation Task ACL 2019 Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks CVPR 2019 Evaluating Lottery Tickets Under Distributional Shifts EMNLP 2019 Evaluating Recurrent Neural Network Explanations ACL 2019 Evaluating Robustness of Deep Image Super-Resolution Against Adversarial Attacks ICCV 2019 EventNet: Asynchronous Recursive Event Processing CVPR 2019 Event Prediction in Complex Social Graphs using One-Dimensional Convolutional Neural Network IJCAI 2019 Event Representation Learning Enhanced with External Commonsense Knowledge EMNLP 2019 EV-Gait: Event-Based Robust Gait Recognition Using Dynamic Vision Sensors CVPR 2019 Evolution of Collective Fairness in Hybrid Populations of Humans and Agents AAAI 2019 EWGAN: Entropy-Based Wasserstein GAN for Imbalanced Learning AAAI 2019 Exact Adversarial Attack to Image Captioning via Structured Output Learning With Latent Variables CVPR 2019 Example-Guided Style-Consistent Image Synthesis From Semantic Labeling CVPR 2019 Experience-Embedded Visual Foresight CoRL 2019 Experience Replay for Continual Learning NeurIPS 2019 Explainability Methods for Graph Convolutional Neural Networks CVPR 2019 Explainable Recommendation through Attentive Multi-View Learning AAAI 2019 Explain Yourself! Leveraging Language Models for Commonsense Reasoning ACL 2019 Explicit Cross-lingual Pre-training for Unsupervised Machine Translation EMNLP 2019 Exploiting Background Knowledge in Compact Answer Generation for Why-Questions AAAI 2019 Exploiting BERT for End-to-End Aspect-based Sentiment Analysis EMNLP 2019 Exploiting Class Learnability in Noisy Data AAAI 2019 Exploiting Coarse-to-Fine Task Transfer for Aspect-Level Sentiment Classification AAAI 2019