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)

CommNets: Communicating Neural Network Architectures for Resource Constrained Systems AAAI 2019 Communication-Efficient Stochastic Gradient MCMC for Neural Networks AAAI 2019 Comparing Sample-Wise Learnability across Deep Neural Network Models AAAI 2019 Comparing Unsupervised Word Translation Methods Step by Step NeurIPS 2019 Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation CVPR 2019 Compiler Auto-Vectorization with Imitation Learning NeurIPS 2019 Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay IJCAI 2019 Completeness Modeling and Context Separation for Weakly Supervised Temporal Action Localization CVPR 2019 Complete the Look: Scene-Based Complementary Product Recommendation CVPR 2019 Complex Word Identification as a Sequence Labelling Task ACL 2019 Composite Binary Decomposition Networks AAAI 2019 Compositional generalization through meta sequence-to-sequence learning NeurIPS 2019 Compositional Plan Vectors NeurIPS 2019 Compositional Questions Do Not Necessitate Multi-hop Reasoning ACL 2019 Compositional Semantic Parsing across Graphbanks ACL 2019 Compressing Unknown Images With Product Quantizer for Efficient Zero-Shot Classification CVPR 2019 CONAN - COunter NArratives through Nichesourcing: a Multilingual Dataset of Responses to Fight Online Hate Speech ACL 2019 Concept Pointer Network for Abstractive Summarization EMNLP 2019 Conditional Adversarial Generative Flow for Controllable Image Synthesis CVPR 2019 Conditional Neural Movement Primitives RSS 2019 Confidence Scoring Using Whitebox Meta-models with Linear Classifier Probes AISTATS 2019 Confusionset-guided Pointer Networks for Chinese Spelling Check ACL 2019 Connecting the Digital and Physical World: Improving the Robustness of Adversarial Attacks AAAI 2019 Connecting the Dots: Learning Representations for Active Monocular Depth Estimation CVPR 2019 Connecting Touch and Vision via Cross-Modal Prediction CVPR 2019