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

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Papers (including subtopics)

Data Augmentation with Hierarchical SQL-to-Question Generation for Cross-domain Text-to-SQL Parsing EMNLP 2021 Data-Efficient Language Shaped Few-shot Image Classification EMNLP 2021 Data Efficient Masked Language Modeling for Vision and Language EMNLP 2021 Data-Free Knowledge Distillation with Soft Targeted Transfer Set Synthesis AAAI 2021 Data-Free Model Extraction CVPR 2021 Data-Free Universal Adversarial Perturbation and Black-Box Attack ICCV 2021 Data-QuestEval: A Referenceless Metric for Data-to-Text Semantic Evaluation EMNLP 2021 DatasetGAN: Efficient Labeled Data Factory With Minimal Human Effort CVPR 2021 Data-to-text Generation by Splicing Together Nearest Neighbors EMNLP 2021 Data-Uncertainty Guided Multi-Phase Learning for Semi-Supervised Object Detection CVPR 2021 DAT: Training Deep Networks Robust To Label-Noise by Matching the Feature Distributions CVPR 2021 DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation CVPR 2021 DCT-Mask: Discrete Cosine Transform Mask Representation for Instance Segmentation CVPR 2021 DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems AAAI 2021 Debiased Subjective Assessment of Real-World Image Enhancement CVPR 2021 DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks NeurIPS 2021 DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation AAAI 2021 Deceive D: Adaptive Pseudo Augmentation for GAN Training with Limited Data NeurIPS 2021 Decentralized Attribution of Generative Models ICLR 2021 Decentralized Policy Gradient Descent Ascent for Safe Multi-Agent Reinforcement Learning AAAI 2021 Decision Transformer: Reinforcement Learning via Sequence Modeling NeurIPS 2021 DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations ACL 2021 Decomposed Mutual Information Estimation for Contrastive Representation Learning ICML 2021 Deconditional Downscaling with Gaussian Processes NeurIPS 2021 Decoupled and Memory-Reinforced Networks: Towards Effective Feature Learning for One-Step Person Search AAAI 2021