Summary of Batchtopk Sparse Autoencoders, by Bart Bussmann et al.
BatchTopK Sparse Autoencodersby Bart Bussmann, Patrick Leask, Neel NandaFirst submitted to arxiv on: 9 Dec…
BatchTopK Sparse Autoencodersby Bart Bussmann, Patrick Leask, Neel NandaFirst submitted to arxiv on: 9 Dec…
Can foundation models actively gather information in interactive environments to test hypotheses?by Nan Rosemary Ke,…
Federated Split Learning with Model Pruning and Gradient Quantization in Wireless Networksby Junhe Zhang, Wanli…
Integrating Expert Labels into LLM-based Emission Goal Detection: Example Selection vs Automatic Prompt Designby Marco…
Gated Delta Networks: Improving Mamba2 with Delta Ruleby Songlin Yang, Jan Kautz, Ali HatamizadehFirst submitted…
How Certain are Uncertainty Estimates? Three Novel Earth Observation Datasets for Benchmarking Uncertainty Quantification in…
Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentationby Fei Wu, Pablo Marquez-Neila,…
Enhanced Computationally Efficient Long LoRA Inspired Perceiver Architectures for Auto-Regressive Language Modelingby Kaleel Mahmood, Shaoyi…
Bounded Exploration with World Model Uncertainty in Soft Actor-Critic Reinforcement Learning Algorithmby Ting Qiao, Henry…
PowerMamba: A Deep State Space Model and Comprehensive Benchmark for Time Series Prediction in Electric…