arXiv ID string | arXiv URL string | PDF URL string | DOI string | Publication Date timestamp[ns] | Updated Date string | Title string | Authors string | Author Affiliations string | Abstract string | Categories string | Primary Category string | Comment string | Journal Reference string | Matched Conferences string | label int64 | source string | classification_embedding list | proximity_embedding list | top_10_similar list | max_similarity float64 | avg_similarity float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2301.01743v1 | http://arxiv.org/abs/2301.01743v1 | http://arxiv.org/pdf/2301.01743v1 | null | 2023-01-01T00:00:00 | 2023-01-01 | Chatbots as Problem Solvers: Playing Twenty Questions with Role Reversals | David Noever; Forrest McKee | null | New chat AI applications like ChatGPT offer an advanced understanding of question context and memory across multi-step tasks, such that experiments can test its deductive reasoning. This paper proposes a multi-role and multi-step challenge, where ChatGPT plays the classic twenty-questions game but innovatively switches... | cs.AI; cs.CL | cs.AI | null | null | null | 0 | ArXiv | [
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2301.00330v2 | http://arxiv.org/abs/2301.00330v2 | http://arxiv.org/pdf/2301.00330v2 | null | 2023-01-01T00:00:00 | 2023-03-25 | Efficient On-device Training via Gradient Filtering | Yuedong Yang; Guihong Li; Radu Marculescu | null | Despite its importance for federated learning, continuous learning and many other applications, on-device training remains an open problem for EdgeAI. The problem stems from the large number of operations (e.g., floating point multiplications and additions) and memory consumption required during training by the back-pr... | cs.CV; cs.AI; cs.LG | cs.CV | CVPR2023, 19 pages, 13 figures | null | CVPR | 1 | CVPR | [
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2301.00409v1 | http://arxiv.org/abs/2301.00409v1 | http://arxiv.org/pdf/2301.00409v1 | null | 2023-01-01T00:00:00 | 2023-01-01 | Diffusion Model based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification | Shizhan Gong; Cheng Chen; Yuqi Gong; Nga Yan Chan; Wenao Ma; Calvin Hoi-Kwan Mak; Jill Abrigo; Qi Dou | null | Brain midline shift (MLS) is one of the most critical factors to be considered for clinical diagnosis and treatment decision-making for intracranial hemorrhage. Existing computational methods on MLS quantification not only require intensive labeling in millimeter-level measurement but also suffer from poor performance ... | cs.CV; cs.AI | cs.CV | 12 pages, 5 figures | null | null | 0 | ArXiv | [
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2301.00383v2 | http://arxiv.org/abs/2301.00383v2 | http://arxiv.org/pdf/2301.00383v2 | 10.1109/TIP.2023.3235583 | 2023-01-01T00:00:00 | 2023-02-13 | Discriminative Radial Domain Adaptation | Zenan Huang; Jun Wen; Siheng Chen; Linchao Zhu; Nenggan Zheng | null | Domain adaptation methods reduce domain shift typically by learning domain-invariant features. Most existing methods are built on distribution matching, e.g., adversarial domain adaptation, which tends to corrupt feature discriminability. In this paper, we propose Discriminative Radial Domain Adaptation (DRDA) which br... | cs.LG; cs.CV | cs.LG | 13 pages, 14 figures | null | null | 0 | ArXiv | [
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2301.00406v4 | http://arxiv.org/abs/2301.00406v4 | http://arxiv.org/pdf/2301.00406v4 | null | 2023-01-01T00:00:00 | 2024-03-06 | Curvature regularization for Non-line-of-sight Imaging from Under-sampled Data | Rui Ding; Juntian Ye; Qifeng Gao; Feihu Xu; Yuping Duan | null | Non-line-of-sight (NLOS) imaging aims to reconstruct the three-dimensional hidden scenes from the data measured in the line-of-sight, which uses photon time-of-flight information encoded in light after multiple diffuse reflections. The under-sampled scanning data can facilitate fast imaging. However, the resulting reco... | cs.CV; eess.IV | cs.CV | null | null | null | 0 | ArXiv | [
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2301.00452v2 | http://arxiv.org/abs/2301.00452v2 | http://arxiv.org/pdf/2301.00452v2 | null | 2023-01-01T00:00:00 | 2023-06-06 | "Human-in-the-loop Embodied Intelligence with Interactive Simulation Environment for Surgical Robo(...TRUNCATED) | Yonghao Long; Wang Wei; Tao Huang; Yuehao Wang; Qi Dou | null | "Surgical robot automation has attracted increasing research interest over the past decade, expectin(...TRUNCATED) | cs.RO; cs.AI; cs.CV; cs.LG | cs.RO | null | null | null | 0 | ArXiv | [-1.1542448997497559,0.49011972546577454,0.455150842666626,0.2676153779029846,-0.3660809397697449,0.(...TRUNCATED) | [0.053660910576581955,0.7885090112686157,-0.5083746314048767,0.35763949155807495,0.07257240265607834(...TRUNCATED) | [] | null | null |
2301.00399v1 | http://arxiv.org/abs/2301.00399v1 | http://arxiv.org/pdf/2301.00399v1 | null | 2023-01-01T00:00:00 | 2023-01-01 | Semantic Operator Prediction and Applications | Farshad Noravesh | null | "In the present paper, semantic parsing challenges are briefly introduced and QDMR formalism in sema(...TRUNCATED) | cs.CL | cs.CL | null | null | null | 0 | ArXiv | [-0.5906028747558594,0.5990965366363525,0.19114141166210175,-1.4667534828186035,0.6515888571739197,-(...TRUNCATED) | [0.3160783350467682,0.8817468285560608,0.06231136620044708,-0.3230496346950531,-0.03929244354367256,(...TRUNCATED) | [] | null | null |
2301.00447v1 | http://arxiv.org/abs/2301.00447v1 | http://arxiv.org/pdf/2301.00447v1 | null | 2023-01-01T00:00:00 | 2023-01-01 | Image To Tree with Recursive Prompting | James Batten; Matthew Sinclair; Ben Glocker; Michiel Schaap | null | "Extracting complex structures from grid-based data is a common key step in automated medical image (...TRUNCATED) | cs.CV; cs.LG | cs.CV | 12 pages, 5 figures | null | null | 0 | ArXiv | [-0.32223746180534363,0.7417282462120056,-0.525932252407074,-0.11396943032741547,-1.3292663097381592(...TRUNCATED) | [0.5826007127761841,0.7668974995613098,-0.17559315264225006,-0.2096143662929535,-0.6203295588493347,(...TRUNCATED) | [] | null | null |
2301.00411v2 | http://arxiv.org/abs/2301.00411v2 | http://arxiv.org/pdf/2301.00411v2 | null | 2023-01-01T00:00:00 | 2023-01-11 | "Detachable Novel Views Synthesis of Dynamic Scenes Using Distribution-Driven Neural Radiance Fiel(...TRUNCATED) | Boyu Zhang; Wenbo Xu; Zheng Zhu; Guan Huang | null | "Representing and synthesizing novel views in real-world dynamic scenes from casual monocular videos(...TRUNCATED) | cs.CV | cs.CV | null | null | null | 0 | ArXiv | [-0.6718947887420654,-1.1038111448287964,-0.4683847725391388,-0.6771073937416077,0.1377648562192917,(...TRUNCATED) | [0.36005163192749023,-0.16463734209537506,-0.1901589035987854,-0.14248360693454742,0.297913759946823(...TRUNCATED) | [] | null | null |
2301.00364v1 | http://arxiv.org/abs/2301.00364v1 | http://arxiv.org/pdf/2301.00364v1 | null | 2023-01-01T00:00:00 | 2023-01-01 | Generalizable Black-Box Adversarial Attack with Meta Learning | Fei Yin; Yong Zhang; Baoyuan Wu; Yan Feng; Jingyi Zhang; Yanbo Fan; Yujiu Yang | null | "In the scenario of black-box adversarial attack, the target model's parameters are unknown, and the(...TRUNCATED) | cs.LG; cs.CR; cs.CV | cs.LG | T-PAMI 2022. Project Page is at https://github.com/SCLBD/MCG-Blackbox | null | null | 0 | ArXiv | [-1.7685387134552002,-1.2444485425949097,-0.45394864678382874,-0.17141945660114288,-0.87849491834640(...TRUNCATED) | [-0.2950334846973419,0.14111705124378204,-0.4192160367965698,0.4233262836933136,-1.159401535987854,-(...TRUNCATED) | [] | null | null |
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