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Ivaxi Sheth
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2020 – today
- 2024
- [c3]Akash Gupta, Ivaxi Sheth, Vyas Raina, Mark J. F. Gales, Mario Fritz:
LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History. EMNLP 2024: 14633-14652 - [i15]Akash Gupta, Ivaxi Sheth, Vyas Raina, Mark J. F. Gales, Mario Fritz:
LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History. CoRR abs/2402.18216 (2024) - [i14]Ivaxi Sheth, Sahar Abdelnabi, Mario Fritz:
Hypothesizing Missing Causal Variables with LLMs. CoRR abs/2409.02604 (2024) - [i13]Tejumade Afonja, Ivaxi Sheth, Ruta Binkyte, Waqar Hanif, Thomas Ulas, Matthias Becker, Mario Fritz:
LLM4GRN: Discovering Causal Gene Regulatory Networks with LLMs - Evaluation through Synthetic Data Generation. CoRR abs/2410.15828 (2024) - [i12]Ivaxi Sheth, Bahare Fatemi, Mario Fritz:
CausalGraph2LLM: Evaluating LLMs for Causal Queries. CoRR abs/2410.15939 (2024) - 2023
- [c2]Ivaxi Sheth, Pedro H. M. Braga, Shivakanth Sujit, Sahar Dastani, Samira Ebrahimi Kahou:
RelationalUNet for Image Segmentation. MLMI@MICCAI (1) 2023: 320-329 - [c1]Ivaxi Sheth, Samira Ebrahimi Kahou:
Auxiliary Losses for Learning Generalizable Concept-based Models. NeurIPS 2023 - [i11]Laya Rafiee Sevyeri, Ivaxi Sheth, Farhood Farahnak, Alexandre See, Samira Ebrahimi Kahou, Thomas Fevens, Mohammad Havaei:
Source-free Domain Adaptation Requires Penalized Diversity. CoRR abs/2304.02798 (2023) - [i10]Doris Antensteiner, Marah Halawa, Asra Aslam, Ivaxi Sheth, Sachini Herath, Ziqi Huang, Sunnie S. Y. Kim, Aparna Akula, Xin Wang:
WiCV@CVPR2023: The Eleventh Women In Computer Vision Workshop at the Annual CVPR Conference. CoRR abs/2309.12768 (2023) - [i9]Laya Rafiee Sevyeri, Ivaxi Sheth, Farhood Farahnak, Shirin Abbasinejad Enger:
Transparent Anomaly Detection via Concept-based Explanations. CoRR abs/2310.10702 (2023) - [i8]Ivaxi Sheth, Samira Ebrahimi Kahou:
Auxiliary Losses for Learning Generalizable Concept-based Models. CoRR abs/2311.11108 (2023) - [i7]Dave Mbiazi, Meghana Bhange, Maryam Babaei, Ivaxi Sheth, Patrik Joslin Kenfack:
Survey on AI Ethics: A Socio-technical Perspective. CoRR abs/2311.17228 (2023) - 2022
- [i6]Fereshteh Shakeri, Malik Boudiaf, Sina Mohammadi, Ivaxi Sheth, Mohammad Havaei, Ismail Ben Ayed, Samira Ebrahimi Kahou:
FHIST: A Benchmark for Few-shot Classification of Histological Images. CoRR abs/2206.00092 (2022) - [i5]Jithendaraa Subramanian, Yashas Annadani, Ivaxi Sheth, Stefan Bauer, Derek Nowrouzezahrai, Samira Ebrahimi Kahou:
Latent Variable Models for Bayesian Causal Discovery. CoRR abs/2207.05723 (2022) - [i4]Doris Antensteiner
, Silvia Bucci, Arushi Goel, Marah Halawa, Niveditha Kalavakonda, Tejaswi Kasarla, Miaomiao Liu, Nermin Samet, Ivaxi Sheth:
WiCV 2022: The Tenth Women In Computer Vision Workshop. CoRR abs/2208.11388 (2022) - [i3]Jithendaraa Subramanian, Yashas Annadani, Ivaxi Sheth, Nan Rosemary Ke, Tristan Deleu, Stefan Bauer, Derek Nowrouzezahrai, Samira Ebrahimi Kahou:
Learning Latent Structural Causal Models. CoRR abs/2210.13583 (2022) - [i2]Ivaxi Sheth, Aamer Abdul Rahman, Mohammad Havaei, Samira Ebrahimi Kahou:
Pitfalls of Conditional Batch Normalization for Contextual Multi-Modal Learning. CoRR abs/2211.15071 (2022) - 2021
- [i1]Ivaxi Sheth:
Three-stream network for enriched Action Recognition. CoRR abs/2104.13051 (2021)
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