conftrace_

Application Areas

34,437 papers (4 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Domain Adaptation (9,897) Efficient Computing (8,226) Data Augmentation (3,648) Fairness (3,574) Knowledge Distillation (3,219) Privacy (3,022) Domain Generalization (1,972) Model Compression (1,736) Risk Management (1,119) Model Merging (592) Recommender Systems (343) Information Retrieval (249) Text Classification (144) Text Processing (2)

Papers per year

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1,828

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Papers (including subtopics)

Pruning Neural Networks at Initialization: Why Are We Missing the Mark? ICLR 2021 Pruning-then-Expanding Model for Domain Adaptation of Neural Machine Translation NAACL 2021 PSD: Principled Synthetic-to-Real Dehazing Guided by Physical Priors CVPR 2021 Pseudo Facial Generation With Extreme Poses for Face Recognition CVPR 2021 Pseudo-Label Guided Unsupervised Domain Adaptation of Contextual Embeddings EACL 2021 PSSM-Distil: Protein Secondary Structure Prediction (PSSP) on Low-Quality PSSM by Knowledge Distillation with Contrastive Learning AAAI 2021 PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences ICLR 2021 PTST-UoM at SemEval-2021 Task 10: Parsimonious Transfer for Sequence Tagging SemEval 2021 Pushing the Physical Limits of IoT Devices with Programmable Metasurfaces NSDI 2021 Putting the “Learning" into Learning-Augmented Algorithms for Frequency Estimation ICML 2021 QIAI at MEDIQA 2021: Multimodal Radiology Report Summarization NAACL 2021 Qimera: Data-free Quantization with Synthetic Boundary Supporting Samples NeurIPS 2021 QMUL-SDS at SCIVER: Step-by-Step Binary Classification for Scientific Claim Verification NAACL 2021 QPP: Real-Time Quantization Parameter Prediction for Deep Neural Networks CVPR 2021 Qualitative Analysis of Depression Models by Demographics NAACL 2021 Quality-Agnostic Image Recognition via Invertible Decoder CVPR 2021 Quality Estimation without Human-labeled Data EACL 2021 Quantifying and Avoiding Unfair Qualification Labour in Crowdsourcing ACL 2021 Quantifying and Improving Transferability in Domain Generalization NeurIPS 2021 Quantifying Appropriateness of Summarization Data for Curriculum Learning EACL 2021 Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability ICML 2021 Quantifying the Privacy Risks of Learning High-Dimensional Graphical Models AISTATS 2021 Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes NeurIPS 2021 Query Generation for Multimodal Documents EACL 2021 Question Generation for Adaptive Education ACL 2021