Summary of Mldgg: Meta-learning For Domain Generalization on Graphs, by Qin Tian et al.
MLDGG: Meta-Learning for Domain Generalization on Graphsby Qin Tian, Chen Zhao, Minglai Shao, Wenjun Wang,…
Summary of Ultra: Unveiling Latent Token Interpretability in Transformer Based Understanding, by Hesam Hosseini et al.
ULTra: Unveiling Latent Token Interpretability in Transformer Based Understandingby Hesam Hosseini, Ghazal Hosseini Mighan, Amirabbas…
Summary of Provable Unlearning in Topic Modeling and Downstream Tasks, by Stanley Wei et al.
Provable unlearning in topic modeling and downstream tasksby Stanley Wei, Sadhika Malladi, Sanjeev Arora, Amartya…
Summary of Mechanism and Emergence Of Stacked Attention Heads in Multi-layer Transformers, by Tiberiu Musat
Mechanism and Emergence of Stacked Attention Heads in Multi-Layer Transformersby Tiberiu MusatFirst submitted to arxiv…
Summary of Seqproft: Applying Lora Finetuning For Sequence-only Protein Property Predictions, by Shuo Zhang et al.
SeqProFT: Applying LoRA Finetuning for Sequence-only Protein Property Predictionsby Shuo Zhang, Jian K. LiuFirst submitted…
Summary of Clmia: Membership Inference Attacks Via Unsupervised Contrastive Learning, by Depeng Chen et al.
CLMIA: Membership Inference Attacks via Unsupervised Contrastive Learningby Depeng Chen, Xiao Liu, Jie Cui, Hong…
Summary of Multi-modal Self-supervised Learning For Surgical Feedback Effectiveness Assessment, by Arushi Gupta et al.
Multi-Modal Self-Supervised Learning for Surgical Feedback Effectiveness Assessmentby Arushi Gupta, Rafal Kocielnik, Jiayun Wang, Firdavs…
Summary of Towards a Framework on Tabular Synthetic Data Generation: a Minimalist Approach: Theory, Use Cases, and Limitations, by Yueyang Shen et al.
Towards a framework on tabular synthetic data generation: a minimalist approach: theory, use cases, and…
Summary of Helene: Hessian Layer-wise Clipping and Gradient Annealing For Accelerating Fine-tuning Llm with Zeroth-order Optimization, by Huaqin Zhao et al.
HELENE: Hessian Layer-wise Clipping and Gradient Annealing for Accelerating Fine-tuning LLM with Zeroth-order Optimizationby Huaqin…
Summary of Hateful Meme Detection Through Context-sensitive Prompting and Fine-grained Labeling, by Rongxin Ouyang et al.
Hateful Meme Detection through Context-Sensitive Prompting and Fine-Grained Labelingby Rongxin Ouyang, Kokil Jaidka, Subhayan Mukerjee,…