1 code implementation • COLING (TextGraphs) 2022 • Aman Sinha, Sandrine Ollinger, Mathieu Constant
This paper focuses on the task of word sense disambiguation (WSD) on lexicographic examples relying on the French Lexical Network (fr-LN).
1 code implementation • SMM4H (COLING) 2022 • Aman Sinha, Cristina Garcia Holgado, Marianne Clausel, Matthieu Constant
Biomedical NER is an active research area today.
no code implementations • EMNLP (WNUT) 2020 • Sirigireddy Dhana Laxmi, Rohit Agarwal, Aman Sinha
Social media such as Twitter is a hotspot of user-generated information.
no code implementations • 17 Nov 2023 • Aman Sinha, Priyanshu Raj Mall, Dwaipayan Roy
Metrics such as PageRank, Hub, and Authority illuminate the pathways through which documents can be discovered within the network of content while the concept of Retrievability is used to quantify the ease with which a document can be found by a retrieval model.
no code implementations • 14 Oct 2023 • Aman Sinha, Priyanshu Raj Mall, Dwaipayan Roy
The overwhelming volume of data generated and indexed by search engines poses a significant challenge in retrieving documents from the index efficiently and effectively.
no code implementations • 15 Sep 2023 • Rohit Agarwal, Aman Sinha, Dilip K. Prasad, Marianne Clausel, Alexander Horsch, Mathieu Constant, Xavier Coubez
Modelling irregularly-sampled time series (ISTS) is challenging because of missing values.
no code implementations • 2 Dec 2022 • Eli Bronstein, Sirish Srinivasan, Supratik Paul, Aman Sinha, Matthew O'Kelly, Payam Nikdel, Shimon Whiteson
However, this approach produces agents that do not perform robustly in safety-critical settings, an issue that cannot be addressed by simply adding more data to the training set - we show that an agent trained using only a 10% subset of the data performs just as well as an agent trained on the entire dataset.
1 code implementation • 5 Oct 2021 • Deepanshu Pandey, Pradyumna Gupta, Sumit Bhattacharya, Aman Sinha, Rohit Agarwal
Region proposal based methods like R-CNN and Faster R-CNN models have proven to be extremely successful in object detection and segmentation tasks.
no code implementations • 21 Oct 2020 • Sirigireddy Dhanalaxmi, Rohit Agarwal, Aman Sinha
Social media such as Twitter is a hotspot of user-generated information.
1 code implementation • SEMEVAL 2020 • Aadarsh Singh, Priyanshu Kumar, Aman Sinha
We explore the performance of Bidirectional Encoder Representations from Transformers (BERT) at definition extraction.
no code implementations • NeurIPS 2020 • Aman Sinha, Matthew O'Kelly, Russ Tedrake, John Duchi
Learning-based methodologies increasingly find applications in safety-critical domains like autonomous driving and medical robotics.
1 code implementation • SEMEVAL 2020 • Pradyumna Gupta, Himanshu Gupta, Aman Sinha
Memes have become an ubiquitous social media entity and the processing and analysis of suchmultimodal data is currently an active area of research.
no code implementations • WS 2020 • Amit Kumar Jena, Aman Sinha, Rohit Agarwal
Automatic Sarcasm Detection in conversations is a difficult and tricky task.
1 code implementation • ICML 2020 • Aman Sinha, Matthew O'Kelly, Hongrui Zheng, Rahul Mangharam, John Duchi, Russ Tedrake
Balancing performance and safety is crucial to deploying autonomous vehicles in multi-agent environments.
2 code implementations • 8 Dec 2019 • Justin Norden, Matthew O'Kelly, Aman Sinha
Using this framework, we conduct the first independent evaluation of a full-stack commercial AV system, Comma AI's OpenPilot.
no code implementations • 2 Dec 2018 • Matthew O'Kelly, Aman Sinha, Justin Norden, Hongseok Namkoong
Modern treatments for Type 1 diabetes (T1D) use devices known as artificial pancreata (APs), which combine an insulin pump with a continuous glucose monitor (CGM) operating in a closed-loop manner to control blood glucose levels.
1 code implementation • NeurIPS 2018 • Matthew O'Kelly, Aman Sinha, Hongseok Namkoong, John Duchi, Russ Tedrake
While recent developments in autonomous vehicle (AV) technology highlight substantial progress, we lack tools for rigorous and scalable testing.
1 code implementation • 6 Jul 2018 • Daniel Ritter, Stefanie Rinderle-Ma, Marco Montali, Andrey Rivkin, Aman Sinha
Enterprise application integration (EAI) solutions are the centrepiece of current enterprise IT architectures (e. g., cloud and mobile computing, business networks), however, require the formalization of their building blocks, represented by integration patterns, verification and optimization.
Software Engineering Logic in Computer Science
1 code implementation • ICLR 2018 • Aman Sinha, Hongseok Namkoong, Riccardo Volpi, John Duchi
Neural networks are vulnerable to adversarial examples and researchers have proposed many heuristic attack and defense mechanisms.
no code implementations • ICML 2017 • Hongseok Namkoong, Aman Sinha, Steve Yadlowsky, John C. Duchi
Standard forms of coordinate and stochastic gradient methods do not adapt to structure in data; their good behavior under random sampling is predicated on uniformity in data.
1 code implementation • NeurIPS 2016 • Aman Sinha, John C. Duchi
We extend the randomized-feature approach to the task of learning a kernel (via its associated random features).