Summary of Stably Unactivated Neurons in Relu Neural Networks, by Natalie Brownlowe et al.
Stably unactivated neurons in ReLU neural networksby Natalie Brownlowe, Christopher R. Cornwell, Ethan Montes, Gabriel…
Summary of Detecting Fake News on Social Media: a Novel Reliability Aware Machine-crowd Hybrid Intelligence-based Method, by Yidong Chai et al.
Detecting Fake News on Social Media: A Novel Reliability Aware Machine-Crowd Hybrid Intelligence-Based Methodby Yidong…
Summary of Aps-lstm: Exploiting Multi-periodicity and Diverse Spatial Dependencies For Flood Forecasting, by Jun Feng et al.
APS-LSTM: Exploiting Multi-Periodicity and Diverse Spatial Dependencies for Flood Forecastingby Jun Feng, Xueyi Liu, Jiamin…
Summary of Sloth: Scaling Laws For Llm Skills to Predict Multi-benchmark Performance Across Families, by Felipe Maia Polo et al.
Sloth: scaling laws for LLM skills to predict multi-benchmark performance across familiesby Felipe Maia Polo,…
Summary of Understanding Factual Recall in Transformers Via Associative Memories, by Eshaan Nichani et al.
Understanding Factual Recall in Transformers via Associative Memoriesby Eshaan Nichani, Jason D. Lee, Alberto BiettiFirst…
Summary of Prediction Of Occluded Pedestrians in Road Scenes Using Human-like Reasoning: Insights From the Occluroads Dataset, by Melo Castillo Angie Nataly et al.
Prediction of Occluded Pedestrians in Road Scenes using Human-like Reasoning: Insights from the OccluRoads Datasetby…
Summary of On How Iterative Magnitude Pruning Discovers Local Receptive Fields in Fully Connected Neural Networks, by William T. Redman et al.
On How Iterative Magnitude Pruning Discovers Local Receptive Fields in Fully Connected Neural Networksby William…
Summary of Processbench: Identifying Process Errors in Mathematical Reasoning, by Chujie Zheng et al.
ProcessBench: Identifying Process Errors in Mathematical Reasoningby Chujie Zheng, Zhenru Zhang, Beichen Zhang, Runji Lin,…
Summary of When Dimensionality Reduction Meets Graph (drawing) Theory: Introducing a Common Framework, Challenges and Opportunities, by Fernando Paulovich et al.
When Dimensionality Reduction Meets Graph (Drawing) Theory: Introducing a Common Framework, Challenges and Opportunitiesby Fernando…
Summary of Dex: Data Channel Extension For Efficient Cnn Inference on Tiny Ai Accelerators, by Taesik Gong et al.
DEX: Data Channel Extension for Efficient CNN Inference on Tiny AI Acceleratorsby Taesik Gong, Fahim…