Summary of Concept Learning in the Wild: Towards Algorithmic Understanding Of Neural Networks, by Elad Shoham et al.
Concept Learning in the Wild: Towards Algorithmic Understanding of Neural Networksby Elad Shoham, Hadar Cohen,…
Summary of A Comparative Study on Dynamic Graph Embedding Based on Mamba and Transformers, by Ashish Parmanand Pandey et al.
A Comparative Study on Dynamic Graph Embedding based on Mamba and Transformersby Ashish Parmanand Pandey,…
Summary of Deep Spectral Clustering Via Joint Spectral Embedding and Kmeans, by Wengang Guo and Wei Ye
Deep Spectral Clustering via Joint Spectral Embedding and Kmeansby Wengang Guo, Wei YeFirst submitted to…
Summary of Op-lora: the Blessing Of Dimensionality, by Piotr Teterwak et al.
OP-LoRA: The Blessing of Dimensionalityby Piotr Teterwak, Kate Saenko, Bryan A. Plummer, Ser-Nam LimFirst submitted…
Summary of Efficient Generative Modeling with Residual Vector Quantization-based Tokens, by Jaehyeon Kim et al.
Efficient Generative Modeling with Residual Vector Quantization-Based Tokensby Jaehyeon Kim, Taehong Moon, Keon Lee, Jaewoong…
Summary of A Survey on Knowledge Graph Structure and Knowledge Graph Embeddings, by Jeffrey Sardina et al.
A Survey on Knowledge Graph Structure and Knowledge Graph Embeddingsby Jeffrey Sardina, John D. Kelleher,…
Summary of Capturing the Temporal Dependence Of Training Data Influence, by Jiachen T. Wang et al.
Capturing the Temporal Dependence of Training Data Influenceby Jiachen T. Wang, Dawn Song, James Zou,…
Summary of Single-view Graph Contrastive Learning with Soft Neighborhood Awareness, by Qingqiang Sun et al.
Single-View Graph Contrastive Learning with Soft Neighborhood Awarenessby Qingqiang Sun, Chaoqi Chen, Ziyue Qiao, Xubin…
Summary of Dial-in Llm: Human-aligned Llm-in-the-loop Intent Clustering For Customer Service Dialogues, by Mengze Hong et al.
Dial-In LLM: Human-Aligned LLM-in-the-loop Intent Clustering for Customer Service Dialoguesby Mengze Hong, Di Jiang, Yuanfeng…
Summary of Mmd-opt : Maximum Mean Discrepancy Based Sample Efficient Collision Risk Minimization For Autonomous Driving, by Basant Sharma et al.
MMD-OPT : Maximum Mean Discrepancy Based Sample Efficient Collision Risk Minimization for Autonomous Drivingby Basant…