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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2409.14760v1 | http://arxiv.org/abs/2409.14760v1 | http://arxiv.org/pdf/2409.14760v1 | null | 2024-09-23T00:00:00 | 2024-09-23 | Isometric Immersion Learning with Riemannian Geometry | Zihao Chen; Wenyong Wang; Yu Xiang | null | Manifold learning has been proven to be an effective method for capturing the implicitly intrinsic structure of non-Euclidean data, in which one of the primary challenges is how to maintain the distortion-free (isometry) of the data representations. Actually, there is still no manifold learning method that provides a t... | cs.LG | cs.LG | null | null | null | 0 | ArXiv | [
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2311.07430v2 | http://arxiv.org/abs/2311.07430v2 | http://arxiv.org/pdf/2311.07430v2 | null | 2023-11-13T00:00:00 | 2024-06-08 | Controlled Text Generation for Black-box Language Models via Score-based Progressive Editor | Sangwon Yu; Changmin Lee; Hojin Lee; Sungroh Yoon | null | "Controlled text generation is very important for the practical use of language models because it en(...TRUNCATED) | cs.CL | cs.CL | To appear in ACL 2024 Main | null | ACL | 1 | ACL | [-0.8107040524482727,-0.1785130649805069,0.1719273030757904,-1.091008186340332,-0.012194556184113026(...TRUNCATED) | [0.3191462755203247,0.5668858885765076,-0.4743220806121826,0.03363899886608124,-0.6029977202415466,-(...TRUNCATED) | [{"arxiv_id":"2310.16343v2","embedding":[0.18043141067028046,1.0527907609939575,-0.2301052063703537,(...TRUNCATED) | 0.961021 | 0.953617 |
2306.10755v1 | http://arxiv.org/abs/2306.10755v1 | http://arxiv.org/pdf/2306.10755v1 | null | 2023-06-19T00:00:00 | 2023-06-19 | Unsupervised Open-domain Keyphrase Generation | Lam Thanh Do; Pritom Saha Akash; Kevin Chen-Chuan Chang | null | "In this work, we study the problem of unsupervised open-domain keyphrase generation, where the obje(...TRUNCATED) | cs.CL | cs.CL | Accepted to ACL 2023. arXiv admin note: text overlap with arXiv:1207.4169 by other authors | null | ACL | 1 | ACL | [-1.0162724256515503,-0.0018139674793928862,-0.16987201571464539,-0.36175113916397095,-0.78038597106(...TRUNCATED) | [0.12787747383117676,0.8892349600791931,-0.27630454301834106,0.43789979815483093,-0.4518412947654724(...TRUNCATED) | [{"arxiv_id":"2304.13883v1","embedding":[0.11152711510658264,0.5072218775749207,-0.5022680759429932,(...TRUNCATED) | 0.957953 | 0.941514 |
2403.09294v1 | http://arxiv.org/abs/2403.09294v1 | http://arxiv.org/pdf/2403.09294v1 | null | 2024-03-14T00:00:00 | 2024-03-14 | Anatomical Structure-Guided Medical Vision-Language Pre-training | "Qingqiu Li; Xiaohan Yan; Jilan Xu; Runtian Yuan; Yuejie Zhang; Rui Feng; Quanli Shen; Xiaobo Zhang;(...TRUNCATED) | null | "Learning medical visual representations through vision-language pre-training has reached remarkable(...TRUNCATED) | cs.CV; cs.CL | cs.CV | null | null | null | 0 | ArXiv | [-0.5736892223358154,1.0388684272766113,-0.018373891711235046,-0.6414879560470581,-0.886431276798248(...TRUNCATED) | [0.34477606415748596,1.1769822835922241,-0.503811776638031,-0.4505762457847595,-0.7386072278022766,0(...TRUNCATED) | [{"arxiv_id":"2312.01522v4","embedding":[0.32743558287620544,0.7955057621002197,-0.5979064106941223,(...TRUNCATED) | 0.966235 | 0.950934 |
2309.16649v1 | http://arxiv.org/abs/2309.16649v1 | http://arxiv.org/pdf/2309.16649v1 | null | 2023-09-28T00:00:00 | 2023-09-28 | FLIP: Cross-domain Face Anti-spoofing with Language Guidance | Koushik Srivatsan; Muzammal Naseer; Karthik Nandakumar | null | "Face anti-spoofing (FAS) or presentation attack detection is an essential component of face recogni(...TRUNCATED) | cs.CV | cs.CV | Accepted to ICCV-2023. Project Page: https://koushiksrivats.github.io/FLIP/ | null | ICCV | 1 | ICCV | [0.1699495017528534,-0.18434925377368927,-0.7016313076019287,-0.7959988713264465,-0.4106589257717132(...TRUNCATED) | [0.4642087519168854,0.020825780928134918,-0.40516769886016846,-0.11527323722839355,-0.51238608360290(...TRUNCATED) | [{"arxiv_id":"2302.05744v1","embedding":[0.5995969176292419,0.6409729719161987,-0.19755911827087402,(...TRUNCATED) | 0.966631 | 0.941989 |
2406.17381v1 | http://arxiv.org/abs/2406.17381v1 | http://arxiv.org/pdf/2406.17381v1 | null | 2024-06-25T00:00:00 | 2024-06-25 | Forget but Recall: Incremental Latent Rectification in Continual Learning | Nghia D. Nguyen; Hieu Trung Nguyen; Ang Li; Hoang Pham; Viet Anh Nguyen; Khoa D. Doan | null | "Intrinsic capability to continuously learn a changing data stream is a desideratum of deep neural n(...TRUNCATED) | cs.LG; cs.CV | cs.LG | null | null | null | 0 | ArXiv | [-0.2683551013469696,-0.9425818920135498,0.3379426598548889,-0.6865898966789246,0.11037665605545044,(...TRUNCATED) | [0.3229406177997589,0.47906652092933655,-0.3172963559627533,0.12242952734231949,0.3954915404319763,0(...TRUNCATED) | [{"arxiv_id":"2311.01617v1","embedding":[0.3467448353767395,0.33937162160873413,0.3338351249694824,0(...TRUNCATED) | 0.965452 | 0.957956 |
2312.05751v1 | http://arxiv.org/abs/2312.05751v1 | http://arxiv.org/pdf/2312.05751v1 | null | 2023-12-10T00:00:00 | 2023-12-10 | Benchmarking of Query Strategies: Towards Future Deep Active Learning | Shiryu Ueno; Yusei Yamada; Shunsuke Nakatsuka; Kunihito Kato | null | "In this study, we benchmark query strategies for deep actice learning~(DAL). DAL reduces annotation(...TRUNCATED) | cs.CV | cs.CV | 14 pages | null | null | 0 | ArXiv | [-0.687615692615509,-0.18305973708629608,0.19104740023612976,-0.2973889112472534,-0.0365675203502178(...TRUNCATED) | [0.3348797857761383,0.5572320222854614,-0.38503092527389526,-0.5241079330444336,-0.5160861015319824,(...TRUNCATED) | [{"arxiv_id":"2301.10625v3","embedding":[0.7229564189910889,0.6087997555732727,-1.0755553245544434,-(...TRUNCATED) | 0.951313 | 0.935354 |
2403.17887v2 | http://arxiv.org/abs/2403.17887v2 | http://arxiv.org/pdf/2403.17887v2 | null | 2024-03-26T00:00:00 | 2025-03-03 | The Unreasonable Ineffectiveness of the Deeper Layers | Andrey Gromov; Kushal Tirumala; Hassan Shapourian; Paolo Glorioso; Daniel A. Roberts | null | "How is knowledge stored in an LLM's weights? We study this via layer pruning: if removing a certain(...TRUNCATED) | cs.CL; cs.LG; stat.ML | cs.CL | "10 + 14 pages, 6 + 5 figures. v2: ICLR camera-ready version; additional experiments in an extende(...TRUNCATED) | null | ICLR | 1 | ICLR | [-0.5532636046409607,-0.858163058757782,0.025568732991814613,-0.27800461649894714,-0.099606603384017(...TRUNCATED) | [0.16600796580314636,0.7042641043663025,-0.2938699722290039,-0.039637491106987,-0.47656241059303284,(...TRUNCATED) | [{"arxiv_id":"2306.00477v4","embedding":[0.278169184923172,0.4306652843952179,-0.20956064760684967,-(...TRUNCATED) | 0.94846 | 0.941126 |
2408.09227v1 | http://arxiv.org/abs/2408.09227v1 | http://arxiv.org/pdf/2408.09227v1 | null | 2024-08-17T00:00:00 | 2024-08-17 | FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection | Jiaqi Wang; Xiaochen Wang; Lingjuan Lyu; Jinghui Chen; Fenglong Ma | null | "This study introduces the Federated Medical Knowledge Injection (FEDMEKI) platform, a new benchmark(...TRUNCATED) | cs.AI | cs.AI | Submitted to Neurips 2024 DB Track | null | NEURIPS | 1 | NEURIPS | [-0.6225417852401733,-0.24256007373332977,-0.5995893478393555,-0.3180517554283142,-0.641029119491577(...TRUNCATED) | [0.2963217496871948,0.6380248665809631,-0.81728595495224,0.3142843544483185,-0.5065834522247314,0.17(...TRUNCATED) | [{"arxiv_id":"2407.00474v1","embedding":[0.2651893198490143,0.4226040542125702,-1.0898261070251465,-(...TRUNCATED) | 0.957567 | 0.942072 |
2311.03320v1 | http://arxiv.org/abs/2311.03320v1 | http://arxiv.org/pdf/2311.03320v1 | null | 2023-11-06T00:00:00 | 2023-11-06 | Tackling Concept Shift in Text Classification using Entailment-style Modeling | Sumegh Roychowdhury; Karan Gupta; Siva Rajesh Kasa; Prasanna Srinivasa Murthy; Alok Chandra | null | "Pre-trained language models (PLMs) have seen tremendous success in text classification (TC) problem(...TRUNCATED) | cs.CL | cs.CL | null | NeurIPS 2023 - Workshop on Distribution Shifts | NEURIPS | 1 | NEURIPS | [-0.8679689764976501,-0.14784857630729675,-0.013519293628633022,-0.9277990460395813,-0.0356329157948(...TRUNCATED) | [0.40099141001701355,0.4295586049556732,-0.5925716161727905,-0.21439330279827118,-0.1869864910840988(...TRUNCATED) | [{"arxiv_id":"2305.16521v1","embedding":[0.1448080986738205,0.6020604968070984,-0.6823655962944031,-(...TRUNCATED) | 0.950658 | 0.942079 |
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