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

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Papers (including subtopics)

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks NeurIPS 2020 Reusing a Pretrained Language Model on Languages with Limited Corpora for Unsupervised NMT EMNLP 2020 Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation CVPR 2020 Revealing the Myth of Higher-Order Inference in Coreference Resolution EMNLP 2020 Reverse Perspective Network for Perspective-Aware Object Counting CVPR 2020 Review-based Question Generation with Adaptive Instance Transfer and Augmentation ACL 2020 Revision in Continuous Space: Unsupervised Text Style Transfer without Adversarial Learning AAAI 2020 Revisiting Bilinear Pooling: A Coding Perspective AAAI 2020 Revisiting Image Aesthetic Assessment via Self-Supervised Feature Learning AAAI 2020 Revisiting Stochastic Extragradient AISTATS 2020 Revisiting Training Strategies and Generalization Performance in Deep Metric Learning ICML 2020 Reward Prediction Error as an Exploration Objective in Deep RL IJCAI 2020 RiskOracle: A Minute-Level Citywide Traffic Accident Forecasting Framework AAAI 2020 RLCard: A Platform for Reinforcement Learning in Card Games IJCAI 2020 RL-CycleGAN: Reinforcement Learning Aware Simulation-to-Real CVPR 2020 RL-Duet: Online Music Accompaniment Generation Using Deep Reinforcement Learning AAAI 2020 ROAM: Recurrently Optimizing Tracking Model CVPR 2020 RobBERT: a Dutch RoBERTa-based Language Model EMNLP 2020 RoboTHOR: An Open Simulation-to-Real Embodied AI Platform CVPR 2020 Robust Adversarial Objects against Deep Learning Models AAAI 2020 Robust and Interpretable Grounding of Spatial References with Relation Networks EMNLP 2020 Robust Backed-off Estimation of Out-of-Vocabulary Embeddings EMNLP 2020 Robust Data Programming with Precision-guided Labeling Functions AAAI 2020 Robust Deep Learning as Optimal Control: Insights and Convergence Guarantees L4DC 2020 Robust Design of Deep Neural Networks Against Adversarial Attacks Based on Lyapunov Theory CVPR 2020