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)

Information Competing Process for Learning Diversified Representations NeurIPS 2019 Information Maximizing Visual Question Generation CVPR 2019 Informative Image Captioning with External Sources of Information ACL 2019 InfoVAE: Balancing Learning and Inference in Variational Autoencoders AAAI 2019 Inherent Tradeoffs in Learning Fair Representations NeurIPS 2019 Inserting Videos Into Videos CVPR 2019 Instance-Level Facial Attributes Transfer with Geometry-Aware Flow AAAI 2019 Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth CVPR 2019 Insufficient Data Can Also Rock! Learning to Converse Using Smaller Data with Augmentation AAAI 2019 Integrating Text and Image: Determining Multimodal Document Intent in Instagram Posts EMNLP 2019 Integration of Deep Learning and Traditional Machine Learning for Knowledge Extraction from Biomedical Literature EMNLP 2019 Interaction-And-Aggregation Network for Person Re-Identification CVPR 2019 Interaction-Aware Factorization Machines for Recommender Systems AAAI 2019 Interactive Attention Transfer Network for Cross-Domain Sentiment Classification AAAI 2019 Interactive Full Image Segmentation by Considering All Regions Jointly CVPR 2019 Interactive Language Learning by Question Answering EMNLP 2019 Inter-Class Angular Loss for Convolutional Neural Networks AAAI 2019 Interpolated Spectral NGram Language Models ACL 2019 Interpretable Neural Predictions with Differentiable Binary Variables ACL 2019 Interpretation of Neural Networks Is Fragile AAAI 2019 Invariance-inducing regularization using worst-case transformations suffices to boost accuracy and spatial robustness NeurIPS 2019 Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-Identification CVPR 2019 Inverse Cooking: Recipe Generation From Food Images CVPR 2019 Inverse Discriminative Networks for Handwritten Signature Verification CVPR 2019 InverseRenderNet: Learning Single Image Inverse Rendering CVPR 2019