Summary of Few-shot Class Incremental Learning Via Robust Transformer Approach, by Naeem Paeedeh et al.
Few-Shot Class Incremental Learning via Robust Transformer Approachby Naeem Paeedeh, Mahardhika Pratama, Sunu Wibirama, Wolfgang…
Summary of Initialization Is Critical to Whether Transformers Fit Composite Functions by Reasoning or Memorizing, By Zhongwang Zhang et al.
Initialization is Critical to Whether Transformers Fit Composite Functions by Reasoning or Memorizingby Zhongwang Zhang,…
Summary of Concrete Dense Network For Long-sequence Time Series Clustering, by Redemptor Jr Laceda Taloma et al.
Concrete Dense Network for Long-Sequence Time Series Clusteringby Redemptor Jr Laceda Taloma, Patrizio Pisani, Danilo…
Summary of Conv-basis: a New Paradigm For Efficient Attention Inference and Gradient Computation in Transformers, by Yingyu Liang et al.
Conv-Basis: A New Paradigm for Efficient Attention Inference and Gradient Computation in Transformersby Yingyu Liang,…
Summary of Xmtrans: Temporal Attentive Cross-modality Fusion Transformer For Long-term Traffic Prediction, by Huy Quang Ung et al.
xMTrans: Temporal Attentive Cross-Modality Fusion Transformer for Long-Term Traffic Predictionby Huy Quang Ung, Hao Niu,…
Summary of Pope: Legendre Orthogonal Polynomials Based Position Encoding For Large Language Models, by Arpit Aggarwal
PoPE: Legendre Orthogonal Polynomials Based Position Encoding for Large Language Modelsby Arpit AggarwalFirst submitted to…
Summary of Refining Joint Text and Source Code Embeddings For Retrieval Task with Parameter-efficient Fine-tuning, by Karim Galliamov et al.
Refining Joint Text and Source Code Embeddings for Retrieval Task with Parameter-Efficient Fine-Tuningby Karim Galliamov,…
Summary of Evaluating Text Summaries Generated by Large Language Models Using Openai’s Gpt, By Hassan Shakil et al.
Evaluating Text Summaries Generated by Large Language Models Using OpenAI’s GPTby Hassan Shakil, Atqiya Munawara…
Summary of Outlier Gradient Analysis: Efficiently Identifying Detrimental Training Samples For Deep Learning Models, by Anshuman Chhabra et al.
Outlier Gradient Analysis: Efficiently Identifying Detrimental Training Samples for Deep Learning Modelsby Anshuman Chhabra, Bo…
Summary of Transformer Models As An Efficient Replacement For Statistical Test Suites to Evaluate the Quality Of Random Numbers, by Rishabh Goel et al.
Transformer models as an efficient replacement for statistical test suites to evaluate the quality of…