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1000 results for “OpenRefine”
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mL-BFGS: A Momentum-based L-BFGS for Distributed Large-scale Neural Network Optimization
Yue Niu, Zalan Fabian, Sunwoo Lee, Mahdi Soltanolkotabi, Salman Avestimehr
Action editor: Murat Erdogdu.
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Execution-based Code Generation using Deep Reinforcement Learning
Parshin Shojaee, Aneesh Jain, Sindhu Tipirneni, Chandan K. Reddy
Action editor: Swarat Chaudhuri.
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Excited to present my poster about regression on Grassmann manifolds for the analysis of multi-condition single-cell data at #ICML2023 in the TAG workshop at 11:10am :)
Read the extended abstract at openreview.net/pdf?id=MrE4jL0… and check out the software at https://github.com/const-ae/lemur
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TabCBM: Concept-based Interpretable Neural Networks for Tabular Data
Mateo Espinosa Zarlenga, Zohreh Shams, Michael Edward Nelson, Been Kim, Mateja Jamnik
Action editor: Pin-Yu Chen.
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Spectral learning of Bernoulli linear dynamical systems models for decision-making
Iris R Stone, Yotam Sagiv, Il Memming Park, Jonathan W. Pillow
Action editor: Shinichi Nakajima.
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Bayesian Quadrature for Neural Ensemble Search
Saad Hamid, Xingchen Wan, Martin Jørgensen, Binxin Ru, Michael A Osborne
Action editor: Kevin Swersky.
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Bayesian Quadrature for Neural Ensemble Search
Saad Hamid, Xingchen Wan, Martin Jørgensen, Binxin Ru, Michael A Osborne
Action editor: Kevin Swersky.
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Bayesian Quadrature for Neural Ensemble Search
Saad Hamid, Xingchen Wan, Martin Jørgensen, Binxin Ru, Michael A Osborne
Action editor: Kevin Swersky.
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Bayesian Quadrature for Neural Ensemble Search
Saad Hamid, Xingchen Wan, Martin Jørgensen, Binxin Ru, Michael A Osborne
Action editor: Kevin Swersky.
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Bayesian Quadrature for Neural Ensemble Search
Saad Hamid, Xingchen Wan, Martin Jørgensen, Binxin Ru, Michael A Osborne
Action editor: Kevin Swersky.
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Contrastive Attraction and Contrastive Repulsion for Representation Learning
Huangjie Zheng, Xu Chen, Jiangchao Yao et al.
Action editor: Yanwei Fu.
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Catastrophic overfitting can be induced with discriminative non-robust features
Guillermo Ortiz-Jimenez, Pau de Jorge, Amartya Sanyal et al.
Action editor: Jakub Tomczak.
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A Characteristic Function for Shapley-Value-Based Attribution of Anomaly Scores
Naoya Takeishi, Yoshinobu Kawahara
Action editor: Mingsheng Long.
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Vulnerability-Aware Instance Reweighting For Adversarial Training
Olukorede Fakorede, Ashutosh Kumar Nirala, Modeste Atsague, Jin Tian
Action editor: Qibin Zhao.
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Off-Policy Evaluation with Out-of-Sample Guarantees
Sofia Ek, Dave Zachariah, Fredrik D. Johansson, Peter Stoica
Action editor: Alain Oliviero Durmus.
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Off-Policy Evaluation with Out-of-Sample Guarantees
Sofia Ek, Dave Zachariah, Fredrik D. Johansson, Peter Stoica
Action editor: Alain Oliviero Durmus.
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Off-Policy Evaluation with Out-of-Sample Guarantees
Sofia Ek, Dave Zachariah, Fredrik D. Johansson, Peter Stoica
Action editor: Alain Oliviero Durmus.
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Off-Policy Evaluation with Out-of-Sample Guarantees
Sofia Ek, Dave Zachariah, Fredrik D. Johansson, Peter Stoica
Action editor: Alain Oliviero Durmus.
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Off-Policy Evaluation with Out-of-Sample Guarantees
Sofia Ek, Dave Zachariah, Fredrik D. Johansson, Peter Stoica
Action editor: Alain Oliviero Durmus.
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A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models
Oleg Arenz, Philipp Dahlinger, Zihan Ye, Michael Volpp, Gerhard Neumann
Action editor: George Papamakarios.
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Towards a More Rigorous Science of Blindspot Discovery in Image Classification Models
Gregory Plumb, Nari Johnson, Angel Cabrera, Ameet Talwalkar
Action editor: Krishnamurthy Dvijotham.
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Provably Convergent Policy Optimization via Metric-aware Trust Region Methods
Jun Song, Niao He, Lijun Ding, Chaoyue Zhao
Action editor: Amir-massoud Farahmand.
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Adjusting Machine Learning Decisions for Equal Opportunity and Counterfactual Fairness
Yixin Wang, Dhanya Sridhar, David Blei
Action editor: Alexandra Chouldechova.
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On Average-Case Error Bounds for Kernel-Based Bayesian Quadrature
Xu Cai, Thanh Lam, Jonathan Scarlett
Action editor: Nishant Mehta.
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Calibrating and Improving Graph Contrastive Learning
MA KAILI, Garry YANG, Han Yang, Yongqiang Chen, James Cheng
Action editor: Yingzhen Li.
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The Vendi Score: A Diversity Evaluation Metric for Machine Learning
Dan Friedman, Adji Bousso Dieng
Action editor: Antonio Vergari.
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DORA: Exploring Outlier Representations in Deep Neural Networks
Kirill Bykov, Mayukh Deb, Dennis Grinwald, Klaus Robert Muller, Marina MC Höhne
Action editor: Antonio Vergari.
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Save the dates!
#Wikimania 16-19 August – OKFN is running two sessions at #Wikimania #Singapore 🇸🇬 about #FrictionlessData and the #OpenDefinition – stay tuned for the programme to be announced in the next weeks. 👉🏾 https://wikimania.wikimedia.org/wiki/2023:Wikimania
🧵
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Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration
Mauricio Delbracio, Peyman Milanfar
Action editor: Jia-Bin Huang.
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Inherent Limits on Topology-Based Link Prediction
Justus Isaiah Hibshman, Tim Weninger
Action editor: Laurent Massoulié.