Showing 2024Show all
3 papers · 1 filter
cs.LG2024
Beyond Data Scarcity: A Frequency-Driven Framework for Zero-Shot Forecasting
Liran Nochumsohn, Michal Moshkovitz, Orly Avner +2
Time series forecasting is critical in numerous real-world applications, requiring accurate predictions of future values based on observed patterns. While traditional forecasting t…
cs.LG2024
Gradient-Free Training of Quantized Neural Networks
Noa Cohen, Omkar Joglekar, Dotan Di Castro +3
Training neural networks requires significant computational resources and energy. Methods like mixed-precision and quantization-aware training reduce bit usage, yet they still depe…
cs.LG2024
An Axiomatic Approach to Model-Agnostic Concept Explanations
Zhili Feng, Michal Moshkovitz, Dotan Di Castro +1
Concept explanation is a popular approach for examining how human-interpretable concepts impact the predictions of a model. However, most existing methods for concept explanations…