Research output per year
Research output per year
- 35 results
Search results
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2024
BOtied: Multi-objective Bayesian optimization with tied multivariate ranks
Park, J. W., Tagasovska, N., Maser, M., Ra, S. & Cho, K., 2024, In: Proceedings of Machine Learning Research. 235, p. 39813-39833 21 p.Research output: Contribution to journal › Conference article › peer-review
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HIST-AID: Leveraging Historical Patient Reports for Enhanced Multi-Modal Automatic Diagnosis
Huang, H., Deniz, C. M., Cho, K., Chopra, S. & Madaan, D., 2024, In: Proceedings of Machine Learning Research. 259, p. 502-523 22 p.Research output: Contribution to journal › Conference article › peer-review
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Implicitly Guided Design with PropEn: Match your Data to Follow the Gradient
Tagasovska, N., Gligorijević, V., Cho, K. & Loukas, A., 2024, In: Advances in Neural Information Processing Systems. 37Research output: Contribution to journal › Conference article › peer-review
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Iterative Reasoning Preference Optimization
Pang, R. Y., Yuan, W., Cho, K., He, H., Sukhbaatar, S. & Weston, J., 2024, In: Advances in Neural Information Processing Systems. 37Research output: Contribution to journal › Conference article › peer-review
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Jointly Modeling Inter- & Intra-Modality Dependencies for Multi-modal Learning
Madaan, D., Makino, T., Chopra, S. & Cho, K., 2024, In: Advances in Neural Information Processing Systems. 37Research output: Contribution to journal › Conference article › peer-review
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Multiple Physics Pretraining for Spatiotemporal Surrogate Models
The Polymathic AI Collaboration, 2024, In: Advances in Neural Information Processing Systems. 37Research output: Contribution to journal › Conference article › peer-review
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Non-convolutional Graph Neural Networks
Wang, Y. & Cho, K., 2024, In: Advances in Neural Information Processing Systems. 37Research output: Contribution to journal › Conference article › peer-review
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Preference Learning Algorithms Do Not Learn Preference Rankings
Chen, A., Malladi, S., Zhang, L. H., Chen, X., Zhang, Q., Ranganath, R. & Cho, K., 2024, In: Advances in Neural Information Processing Systems. 37Research output: Contribution to journal › Conference article › peer-review
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Regularizing with Pseudo-Negatives for Continual Self-Supervised Learning
Cha, S., Cho, K. & Moon, T., 2024, In: Proceedings of Machine Learning Research. 235, p. 6048-6065 18 p.Research output: Contribution to journal › Conference article › peer-review
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Self-Rewarding Language Models
Yuan, W., Pang, R. Y., Cho, K., Li, X., Sukhbaatar, S., Xu, J. & Weston, J., 2024, In: Proceedings of Machine Learning Research. 235, p. 57905-57923 19 p.Research output: Contribution to journal › Conference article › peer-review
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Training Greedy Policy for Proposal Batch Selection in Expensive Multi-Objective Combinatorial Optimization
Lee, D., Song, H. O. & Cho, K., 2024, In: Proceedings of Machine Learning Research. 235, p. 26948-26975 28 p.Research output: Contribution to journal › Conference article › peer-review
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2023
AbDiffuser: Full-Atom Generation of in vitro Functioning Antibodies
Martinkus, K., Ludwiczak, J., Cho, K., Liang, W. C., Lafrance-Vanasse, J., Hotzel, I., Rajpal, A., Wu, Y., Bonneau, R., Gligorijevic, V. & Loukas, A., 2023, In: Advances in Neural Information Processing Systems. 36Research output: Contribution to journal › Conference article › peer-review
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Improving Joint Speech-Text Representations Without Alignment
Peyser, C., Meng, Z., Hu, K., Prabhavalkar, R., Rosenberg, A., Sainath, T. N., Picheny, M. & Cho, K., 2023, In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. 2023-August, p. 1354-1358 5 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
Learning Causal Representations of Single Cells via Sparse Mechanism Shift Modeling
Lopez, R., Tagasovska, N., Ra, S., Cho, K., Pritchard, J. K. & Regev, A., 2023, In: Proceedings of Machine Learning Research. 213, p. 662-691 30 p.Research output: Contribution to journal › Conference article › peer-review
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On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis
Madaan, D., Sodickson, D., Cho, K. & Chopra, S., 2023, In: Proceedings of Machine Learning Research. 227, p. 1726-1750 25 p.Research output: Contribution to journal › Conference article › peer-review
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Protein Design with Guided Discrete Diffusion
Gruver, N., Stanton, S., Frey, N., Rudner, T. G. J., Hotzel, I., Lafrance-Vanasse, J., Rajpal, A., Cho, K. & Wilson, A. G., 2023, In: Advances in Neural Information Processing Systems. 36Research output: Contribution to journal › Conference article › peer-review
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Towards Understanding and Improving GFlowNet Training
Shen, M. W., Bengio, E., Hajiramezanali, E., Loukas, A., Cho, K. & Biancalani, T., 2023, In: Proceedings of Machine Learning Research. 202, p. 30956-30975 20 p.Research output: Contribution to journal › Conference article › peer-review
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2022
Characterizing and Overcoming the Greedy Nature of Learning in Multi-modal Deep Neural Networks
Wu, N., Jastrzębski, S., Cho, K. & Geras, K. J., 2022, In: Proceedings of Machine Learning Research. 162, p. 24043-24055 13 p.Research output: Contribution to journal › Conference article › peer-review
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Towards Disentangled Speech Representations
Peyser, C., Huang, R., Rosenberg, A., Sainath, T. N., Picheny, M. & Cho, K., 2022, In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. 2022-September, p. 3603-3607 5 p.Research output: Contribution to journal › Conference article › peer-review
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2021
KLUE: Korean Language Understanding Evaluation
Park, S., Moon, J., Kim, S., Cho, W. I., Han, J., Park, J., Song, C., Kim, J., Song, Y., Oh, T., Lee, J., Oh, J., Lyu, S., Jeong, Y., Lee, I., Seo, S., Lee, D., Kim, H., Lee, M. & Jang, S. & 11 others, , 2021, In: Advances in Neural Information Processing Systems.Research output: Contribution to journal › Conference article › peer-review
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NATURALPROOFS: Mathematical Theorem Proving in Natural Language
Welleck, S., Liu, J., Le Bras, R., Hajishirzi, H., Choi, Y. & Cho, K., 2021, In: Advances in Neural Information Processing Systems.Research output: Contribution to journal › Conference article › peer-review
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2020
Evaluating pretrained transformer models for citation recommendation
Nogueira, R., Jiang, Z., Cho, K. & Lin, J., 2020, In: CEUR Workshop Proceedings. 2591, p. 89-100 12 p.Research output: Contribution to journal › Conference article › peer-review
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Improving the Ability of Deep Neural Networks to Use Information from Multiple Views in Breast Cancer Screening
Wu, N., Jastrzębski, S., Park, J., Moy, L., Cho, K. & Geras, K. J., 2020, In: Proceedings of Machine Learning Research. 121, p. 827-842 16 p.Research output: Contribution to journal › Conference article › peer-review
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Rapidly deploying a neural search engine for the COVID-19 open research dataset
Zhang, E., Gupta, N., Nogueira, R., Cho, K. & Lin, J., 2020, In: Proceedings of the Annual Meeting of the Association for Computational Linguistics.Research output: Contribution to journal › Conference article › peer-review
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2019
Can unconditional language models recover arbitrary sentences?
Subramani, N., Bowman, S. R. & Cho, K., 2019, In: Advances in Neural Information Processing Systems. 32Research output: Contribution to journal › Conference article › peer-review
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2018
Loss functions for multiset prediction
Welleck, S., Yao, Z., Gai, Y., Mao, J., Zhang, Z. & Cho, K., 2018, In: Advances in Neural Information Processing Systems. 2018-December, p. 5783-5792 10 p.Research output: Contribution to journal › Conference article › peer-review
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PommerMan: A multi-agent playground
Resnick, C., Eldridge, W., Ha, D., Britz, D., Foerster, J., Togelius, J., Cho, K. & Bruna, J., 2018, In: CEUR Workshop Proceedings. 2282Research output: Contribution to journal › Conference article › peer-review
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2017
Saliency-based sequential image attention with multiset prediction
Welleck, S., Mao, J., Cho, K. & Zhang, Z., 2017, In: Advances in Neural Information Processing Systems. 2017-December, p. 5174-5184 11 p.Research output: Contribution to journal › Conference article › peer-review
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2016
End-to-end goal-driven Web navigation
Nogueira, R. & Cho, K., 2016, In: Advances in Neural Information Processing Systems. p. 1911-1919 9 p.Research output: Contribution to journal › Conference article › peer-review
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Iterative refinement of the approximate posterior for directed belief networks
Hjelm, R. D., Cho, K., Chung, J., Salakhutdinov, R., Calhoun, V. & Jojic, N., 2016, In: Advances in Neural Information Processing Systems. p. 4698-4706 9 p.Research output: Contribution to journal › Conference article › peer-review
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2015
A study of the recurrent neural network encoder-decoder for large vocabulary speech recognition
Lu, L., Zhang, X., Cho, K. & Renals, S., 2015, In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. 2015-January, p. 3249-3253 5 p.Research output: Contribution to journal › Conference article › peer-review
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Attention-based models for speech recognition
Chorowski, J., Bahdanau, D., Serdyuk, D., Cho, K. & Bengio, Y., 2015, In: Advances in Neural Information Processing Systems. 2015-January, p. 577-585 9 p.Research output: Contribution to journal › Conference article › peer-review
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2014
Identifying and attacking the saddle point problem in high-dimensional non-convex optimization
Dauphin, Y. N., Pascanu, R., Gulcehre, C., Cho, K., Ganguli, S. & Bengio, Y., 2014, In: Advances in Neural Information Processing Systems. 4, January, p. 2933-2941 9 p.Research output: Contribution to journal › Conference article › peer-review
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Iterative neural autoregressive distribution estimator (NADE-k)
Raiko, T., Yao, L., Cho, K. H. & Bengio, Y., 2014, In: Advances in Neural Information Processing Systems. 1, January, p. 325-333 9 p.Research output: Contribution to journal › Conference article › peer-review
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On the number of linear regions of deep neural networks
Montúfar, G., Pascanu, R., Cho, K. & Bengio, Y., 2014, In: Advances in Neural Information Processing Systems. 4, January, p. 2924-2932 9 p.Research output: Contribution to journal › Conference article › peer-review