Search Results for author: Ivaxi Sheth

Found 11 papers, 1 papers with code

LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History

1 code implementation28 Feb 2024 Akash Gupta, Ivaxi Sheth, Vyas Raina, Mark Gales, Mario Fritz

With the recent emergence of powerful instruction-tuned large language models (LLMs), various helpful conversational Artificial Intelligence (AI) systems have been deployed across many applications.

Survey on AI Ethics: A Socio-technical Perspective

no code implementations28 Nov 2023 Dave Mbiazi, Meghana Bhange, Maryam Babaei, Ivaxi Sheth, Patrik Joslin Kenfack

The past decade has observed a great advancement in AI with deep learning-based models being deployed in diverse scenarios including safety-critical applications.

Ethics Fairness

WiCV@CVPR2023: The Eleventh Women In Computer Vision Workshop at the Annual CVPR Conference

no code implementations22 Sep 2023 Doris Antensteiner, Marah Halawa, Asra Aslam, Ivaxi Sheth, Sachini Herath, Ziqi Huang, Sunnie S. Y. Kim, Aparna Akula, Xin Wang

In this paper, we present the details of Women in Computer Vision Workshop - WiCV 2023, organized alongside the hybrid CVPR 2023 in Vancouver, Canada.

Pitfalls of Conditional Batch Normalization for Contextual Multi-Modal Learning

no code implementations28 Nov 2022 Ivaxi Sheth, Aamer Abdul Rahman, Mohammad Havaei, Samira Ebrahimi Kahou

Despite the boost in performance observed by using CBN layers, our work reveals that the visual features learned by introducing auxiliary data via CBN deteriorates.

Cancer type classification

Learning Latent Structural Causal Models

no code implementations24 Oct 2022 Jithendaraa Subramanian, Yashas Annadani, Ivaxi Sheth, Nan Rosemary Ke, Tristan Deleu, Stefan Bauer, Derek Nowrouzezahrai, Samira Ebrahimi Kahou

For linear Gaussian additive noise SCMs, we present a tractable approximate inference method which performs joint inference over the causal variables, structure and parameters of the latent SCM from random, known interventions.

Bayesian Inference Image Generation +1

WiCV 2022: The Tenth Women In Computer Vision Workshop

no code implementations24 Aug 2022 Doris Antensteiner, Silvia Bucci, Arushi Goel, Marah Halawa, Niveditha Kalavakonda, Tejaswi Kasarla, Miaomiao Liu, Nermin Samet, Ivaxi Sheth

In this paper, we present the details of Women in Computer Vision Workshop - WiCV 2022, organized alongside the hybrid CVPR 2022 in New Orleans, Louisiana.

FHIST: A Benchmark for Few-shot Classification of Histological Images

no code implementations31 May 2022 Fereshteh Shakeri, Malik Boudiaf, Sina Mohammadi, Ivaxi Sheth, Mohammad Havaei, Ismail Ben Ayed, Samira Ebrahimi Kahou

We build few-shot tasks and base-training data with various tissue types, different levels of domain shifts stemming from various cancer sites, and different class-granularity levels, thereby reflecting realistic scenarios.

Classification Few-Shot Learning +1

Three-stream network for enriched Action Recognition

no code implementations27 Apr 2021 Ivaxi Sheth

Understanding accurate information on human behaviours is one of the most important tasks in machine intelligence.

Action Recognition Human Activity Recognition +1

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