Summary of Sequential Order-robust Mamba For Time Series Forecasting, by Seunghan Lee et al.
Sequential Order-Robust Mamba for Time Series Forecastingby Seunghan Lee, Juri Hong, Kibok Lee, Taeyoung ParkFirst…
Summary of Mutaplm: Protein Language Modeling For Mutation Explanation and Engineering, by Yizhen Luo et al.
MutaPLM: Protein Language Modeling for Mutation Explanation and Engineeringby Yizhen Luo, Zikun Nie, Massimo Hong,…
Summary of Don’t Just Pay Attention, Plant It: Transfer L2r Models to Fine-tune Attention in Extreme Multi-label Text Classification, by Debjyoti Saharoy et al.
Don’t Just Pay Attention, PLANT It: Transfer L2R Models to Fine-tune Attention in Extreme Multi-Label…
Summary of Building, Reusing, and Generalizing Abstract Representations From Concrete Sequences, by Shuchen Wu et al.
Building, Reusing, and Generalizing Abstract Representations from Concrete Sequencesby Shuchen Wu, Mirko Thalmann, Peter Dayan,…
Summary of Uncovering Capabilities Of Model Pruning in Graph Contrastive Learning, by Junran Wu et al.
Uncovering Capabilities of Model Pruning in Graph Contrastive Learningby Junran Wu, Xueyuan Chen, Shangzhe LiFirst…
Summary of Causal Modeling in Multi-context Systems: Distinguishing Multiple Context-specific Causal Graphs Which Account For Observational Support, by Martin Rabel et al.
Causal Modeling in Multi-Context Systems: Distinguishing Multiple Context-Specific Causal Graphs which Account for Observational Supportby…
Summary of Sensor2text: Enabling Natural Language Interactions For Daily Activity Tracking Using Wearable Sensors, by Wenqiang Chen et al.
Sensor2Text: Enabling Natural Language Interactions for Daily Activity Tracking Using Wearable Sensorsby Wenqiang Chen, Jiaxuan…
Summary of Layer by Layer: Uncovering Where Multi-task Learning Happens in Instruction-tuned Large Language Models, By Zheng Zhao et al.
Layer by Layer: Uncovering Where Multi-Task Learning Happens in Instruction-Tuned Large Language Modelsby Zheng Zhao,…
Summary of Learning the Regularization Strength For Deep Fine-tuning Via a Data-emphasized Variational Objective, by Ethan Harvey et al.
Learning the Regularization Strength for Deep Fine-Tuning via a Data-Emphasized Variational Objectiveby Ethan Harvey, Mikhail…
Summary of Capsule Endoscopy Multi-classification Via Gated Attention and Wavelet Transformations, by Lakshmi Srinivas Panchananam et al.
Capsule Endoscopy Multi-classification via Gated Attention and Wavelet Transformationsby Lakshmi Srinivas Panchananam, Praveen Kumar Chandaliya,…