115 citations · 587 across the 62 of their papers we have counts for
7 papers · 1 filter
Annotator Consensus Prediction for Medical Image Segmentation with Diffusion Models
Tomer Amit, Shmuel Shichrur, Tal Shaharabany +1
A major challenge in the segmentation of medical images is the large inter- and intra-observer variability in annotations provided by multiple experts. To address this challenge, w…
2-D SSM: A General Spatial Layer for Visual Transformers
Ethan Baron, Itamar Zimerman, Lior Wolf
A central objective in computer vision is to design models with appropriate 2-D inductive bias. Desiderata for 2D inductive bias include two-dimensional position awareness, dynamic…
Decision S4: Efficient Sequence-Based RL via State Spaces Layers
Shmuel Bar-David, Itamar Zimerman, Eliya Nachmani +1
Recently, sequence learning methods have been applied to the problem of off-policy Reinforcement Learning, including the seminal work on Decision Transformers, which employs transf…
Anomaly Detection with Variance Stabilized Density Estimation
Amit Rozner, Barak Battash, Henry Li +2
We propose a modified density estimation problem that is highly effective for detecting anomalies in tabular data. Our approach assumes that the density function is relatively stab…
Focus Your Attention (with Adaptive IIR Filters)
Shahar Lutati, Itamar Zimerman, Lior Wolf
We present a new layer in which dynamic (i.e.,input-dependent) Infinite Impulse Response (IIR) filters of order two are used to process the input sequence prior to applying convent…
Energy Regularized RNNs for Solving Non-Stationary Bandit Problems
Michael Rotman, Lior Wolf
We consider a Multi-Armed Bandit problem in which the rewards are non-stationary and are dependent on past actions and potentially on past contexts. At the heart of our method, we…