Events
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Speaker: Xuexin Wei ARNI WG Multi-resource-cost optimization of neural network models
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United StatesTitle: Constraints of efficient neural computation Abstract: Neural systems adapt to the statistical structure of the environment to support behavior. While it is generally recognized that such adaptation is subject…
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CTN: Farzaneh Najafi
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United States -
Speaker: Katherine Xu – Language and Vision Working Group
VirtualTitle: Are Vision-Language Models Checking or Looking? Abstract: Today’s AI vision systems are trained on vast amounts of data, yet it remains unclear whether they simply retrieve memorized answers or actively…
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Speaker: Vijay Balasubramanian ARNI WG Multi-resource-cost optimization of neural network models
Zuckerman Institute - L3-079 3227 Broadway, New York, NY, United StatesTitle and Abstract: TBD
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Lecture Series in AI: Richard Zemel
Davis Auditorium 530 W 120th St, New York, NY 10027, New York, NYGeneral website Title: Integrating Past and Present in Continual Learning Abstract: Continual learning aims to bridge the gap between typical human and machine-learning environments. The continual setting does not have…
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ARNI Biological Learning Working Group
Continuation of prior meetings. Zoom: Upon request @[email protected]
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Speaker Josue Ortega Caro: ARNI Frontier Models for Neuroscience and Behavior Working Group
VirtualTime: 30th March. 3pm EST Title: Large scale models for spatiotemporal data. Speaker: Josue Ortega Caro https://josueortc.github.io/ Abstract: Spatiotemporal and multimodal datasets contain structured variability distributed across space, time, and measurement modality,…
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Speaker: Mengye Ren – ARNI Continual Learning Working Group Meeting
CEPSR 620 Schapiro 530 W. 120th StMengye Ren
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ARNI Biological Learning Working Group
VirtualContinuation of prior meetings. Zoom: Upon request @[email protected]
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CTN: Jack Lindsey (Anthropic)
Zuckerman Institute - L5-084 3227 Broadway, New York, NY, United StatesTitle: The inner lives of language models Abstract: In recent years, LLMs have evolved from bad text completion engines, to decent chatbots, to digital genies that work miracles on your…
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Speaker: Ziwei (Sara) Gong – ARNI Language and Vision Working Group
VirtualTitle: Decoding Human Emotions: From Psychological Theories to Multimodal NLP Models Abstract: Understanding and modeling human emotions is essential for natural language processing (NLP) applications, from conversational AI to mental health assessment.…
