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07/18/2023
Modeling Orders of User Behaviors via Differentiable Sorting: A Multi-task Framework to Predicting User Post-click Conversion
User post-click conversion prediction is of high interest to researchers...
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02/07/2023
PhysFormer++: Facial Video-based Physiological Measurement with SlowFast Temporal Difference Transformer
Remote photoplethysmography (rPPG), which aims at measuring heart activi...
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11/23/2022
Evolutionary Generalized Zero-Shot Learning
An open problem on the path to artificial intelligence is generalization...
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11/19/2022
Mutual Balancing in State-Object Components for Compositional Zero-Shot Learning
Compositional Zero-Shot Learning (CZSL) aims to recognize unseen composi...
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07/13/2022
Collaborative Quantization Embeddings for Intra-Subject Prostate MR Image Registration
Image registration is useful for quantifying morphological changes in lo...
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04/25/2022
Zero-Shot Logit Adjustment
Semantic-descriptor-based Generalized Zero-Shot Learning (GZSL) poses ch...
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04/24/2022
Towards the Semantic Weak Generalization Problem in Generative Zero-Shot Learning: Ante-hoc and Post-hoc
In this paper, we present a simple and effective strategy lowering the p...
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04/18/2022
MP2: A Momentum Contrast Approach for Recommendation with Pointwise and Pairwise Learning
Binary pointwise labels (aka implicit feedback) are heavily leveraged by...
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01/31/2022
Learning to Hash Naturally Sorts
Locality sensitive hashing pictures a list-wise sorting problem. Its tes...
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12/23/2021
Boosting Generative Zero-Shot Learning by Synthesizing Diverse Features with Attribute Augmentation
The recent advance in deep generative models outlines a promising perspe...
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11/23/2021
PhysFormer: Facial Video-based Physiological Measurement with Temporal Difference Transformer
Remote photoplethysmography (rPPG), which aims at measuring heart activi...
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07/09/2021
Learning Syntactic Dense Embedding with Correlation Graph for Automatic Readability Assessment
Deep learning models for automatic readability assessment generally disc...
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06/03/2021
You Never Cluster Alone
Recent advances in self-supervised learning with instance-level contrast...
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07/09/2020
Invertible Zero-Shot Recognition Flows
Deep generative models have been successfully applied to Zero-Shot Learn...
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02/27/2020
Auto-Encoding Twin-Bottleneck Hashing
Conventional unsupervised hashing methods usually take advantage of simi...
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08/26/2019
Embarrassingly Simple Binary Representation Learning
Recent binary representation learning models usually require sophisticat...
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03/06/2018
Zero-Shot Sketch-Image Hashing
Recent studies show that large-scale sketch-based image retrieval (SBIR)...
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08/08/2017
Deep Binaries: Encoding Semantic-Rich Cues for Efficient Textual-Visual Cross Retrieval
Cross-modal hashing is usually regarded as an effective technique for la...
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03/16/2017