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)

Cyclic Guidance for Weakly Supervised Joint Detection and Segmentation CVPR 2019 Dance With Flow: Two-In-One Stream Action Detection CVPR 2019 Dancing to Music NeurIPS 2019 DAN: Deep Attention Neural Network for News Recommendation AAAI 2019 Data-Adaptive Metric Learning with Scale Alignment AAAI 2019 Data-Anonymous Encoding for Text-to-SQL Generation EMNLP 2019 Data Augmentation Based on Adversarial Autoencoder Handling Imbalance for Learning to Rank AAAI 2019 Data Augmentation for Spoken Language Understanding via Joint Variational Generation AAAI 2019 Data augmentation using back-translation for context-aware neural machine translation EMNLP 2019 Data Augmentation Using Learned Transformations for One-Shot Medical Image Segmentation CVPR 2019 Data Augmentation with Atomic Templates for Spoken Language Understanding EMNLP 2019 Data Cleansing for Models Trained with SGD NeurIPS 2019 Data-Distortion Guided Self-Distillation for Deep Neural Networks AAAI 2019 Data-Efficient Goal-Oriented Conversation with Dialogue Knowledge Transfer Networks EMNLP 2019 Data Fine-Tuning AAAI 2019 Data Parameters: A New Family of Parameters for Learning a Differentiable Curriculum NeurIPS 2019 Data Representation and Learning With Graph Diffusion-Embedding Networks CVPR 2019 Data-to-Text Generation with Content Selection and Planning AAAI 2019 Data-to-text Generation with Entity Modeling ACL 2019 DDFlow: Learning Optical Flow with Unlabeled Data Distillation AAAI 2019 DDLSTM: Dual-Domain LSTM for Cross-Dataset Action Recognition CVPR 2019 Debiasing Embeddings for Reduced Gender Bias in Text Classification ACL 2019 Decomposing Textual Information For Style Transfer EMNLP 2019 Decoupled Box Proposal and Featurization with Ultrafine-Grained Semantic Labels Improve Image Captioning and Visual Question Answering EMNLP 2019 Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses CVPR 2019