Sanjay Subramanian, Ben Bogin, Nitish Gupta and

Tomer Wolfson, Sameer Singh, Jonathan Berant, Matt Gardner

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vision, abstract process, Compositional Networks, Neural networks

Jayneel Parekh, Pavlo Mozharovskyi, Florence d'Alché-Buc

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deep learning, interpretability

Yuhuai Wu, Markus Rabe, Wenda Li and

Jimmy Ba, Roger Grosse, Christian Szegedy

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Deep Learning

Wang-Zhou Dai, Stephen Muggleton

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Knowledge Representation and Reasoning, Diagnosis and Abductive Reasoning, Leveraging Knowledge and Learning, Knowledge Aided Learning, Neuro-Symbolic Methods

Andrew Yates, Kevin Martin Jose, Xinyu Zhang, Jimmy Lin

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neural information retrieval, retrieval pipeline, ad hoc ranking

Amin Banitalebi-Dehkordi, Xinyu Kang, Yong Zhang

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Model Composition, Combining Neural Networks, Pseudo Label, Self Training, Label Aggregation, Combining Models

Nasim Rahaman, Muhammad Waleed Gondal, Shruti Joshi and

Peter Gehler, Yoshua Bengio, Francesco Locatello, Bernhard Schölkopf

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deep learning, machine learning, transformers, vision

Mike Wu, Noah Goodman, Stefano Ermon

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deep learning, machine learning, adversarial robustness and security, generative model

Oleksiy Ostapenko, Pau Rodriguez, Massimo Caccia, Laurent Charlin

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continual learning, transfer learning

Thao Nguyen, Maithra Raghu, Simon Kornblith

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Representation learning

Segwang Kim, Hyoungwook Nam, Joonyoung Kim, Kyomin Jung

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Sebastian Risi, Kenneth O. Stanley

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Murray Shanahan, Kyriacos Nikiforou, Antonia Creswell and

Christos Kaplanis, David Barrett, Marta Garnelo

Keywords Abstract Paper

Deep Learning - General

Brenden Petersen, Mikel Landajuela Larma, Terrell N Mundhenk and

Claudio Santiago, Soo Kim, Joanne Kim

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reinforcement learning, automated machine learning, symbolic regression

Ruichu Cai, Zhihao Liang, Boyan Xu and

zijian li, Yuexing Hao, Yao Chen

Keywords Abstract Paper

Code Generation, code task, adaptive code, TAG

Taylor Webb, Ishan Sinha, Jonathan Cohen

Keywords Abstract Paper

out-of-distribution generalization, variable binding, indirection, external memory, abstract rules

Aviv Navon, Idan Achituve, Haggai Maron and

Gal Chechik, Ethan Fetaya

Keywords Abstract Paper

Multi-task Learning, Auxiliary Learning

Yunfeng Lin, Guilin Li, Xing Zhang and

Weinan Zhang, Bo Chen, Ruiming Tang, Zhenguo Li, Jiashi Feng, Yong Yu

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Yunfeng Lin, Guilin Li, Xing Zhang and

Weinan Zhang, Bo Chen, Ruiming Tang, Zhenguo Li, Jiashi Feng, Yong Yu

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Wasi Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang

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Source Summarization, summarization, ablation studies, Transformer-based Approach

Zhuotong Chen, Qianxiao Li, Zheng Zhang

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dynamical system, neural network robustness, optimal control

Wenhu Chen, Zhe Gan, Linjie Li and

Yu Cheng, William Wang, Jingjing Liu

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Raphaël Dang-Nhu

Keywords Abstract Paper

Haiyong Jiang, Feilong Yan, Jianfei Cai and

Jianmin Zheng, Jun Xiao

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3d instance segmentation, stable matching, point cloud, label assignment

Zhihang Li, Teng Xi, Jiankang Deng and

Gang Zhang, Shengzhao Wen, Ran He

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neural architecture search, gaussian process, image classification, face recognition

Yoav Wald, Amir Feder, Daniel Greenfeld, Uri Shalit

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machine learning, domain adaptation, causality

Anastasis Kratsios, Eugene Bilokopytov

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Maxwell Nye, Yewen Pu, Matthew Bowers and

Jacob Andreas, Joshua B Tenenbaum, Armando Solar-Lezama

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abstract interpretation, program synthesis, representation learning, modular neural networks

Alex Lamb, Anirudh Goyal, Agnieszka Słowik and

Michael Mozer, Philippe Beaudoin, Yoshua Bengio

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Rhys Compton, Eibe Frank, Panos Patros, Abigail Koay

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code2vec, machine learning, code obfuscation, source code, neural networks

Fangzhou Mu, Yingyu Liang, Yin Li

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representation learning, gradient features, deep learning

Sagar Verma, Jean-Christophe Pesquet

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Optimization, Convex Optimization

Junjiao Tian, Yen-Cheng Liu, Nathaniel Glaser and

Yen-Chang Hsu, Zsolt Kira

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Algorithms -> Few-Shot Learning, Applications -> Computer Vision

Dweep Trivedi, Jesse Zhang, Shao-Hua Sun, Joseph Lim

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deep learning, reinforcement learning and planning

Yunlu Chen, Basura Fernando, Hakan Bilen and

Thomas Mensink, Efstratios Gavves

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Applications, Computer Vision

Yatin Nandwani, Deepanshu Jindal, Mausam ., Parag Singla

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constraint satisfaction, Neuro symbolic, reasoning

Xinyang Zhang, Ren Pang, Shouling Ji and

Fenglong Ma, Ting Wang

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Jie Bu, Arka Daw, M. Maruf, Anuj Karpatne

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deep learning, machine learning, vision, graph learning, representation learning

Ekin Akyürek, Afra Feyza Akyürek, Jacob Andreas

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sequence models, language processing, compositional generalization, data augmentation, generative modeling

Robert Csordas, Sjoerd van Steenkiste, Jürgen Schmidhuber

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modularity, systematic generalization, compositionality