[NeurIPS 2024] Mesomorphic Interpretable Networks for Tabular Data

Code and Data for the paper: On the Expressivity and Sample Complexity of Node-Individualized Graph Neural Networks (NeurIPS 2024)

A collection of papers related to Geo-spatial Information Science in NeurIPS 2024.

Code and data for "ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLM" (NeurIPS 2024 Track Datasets and Benchmarks)

Official repository of "Transferring disentangled representations: bridging the gap between synthetic and real images" [NeurIPS 2024]

This repository is the accompanying code for the paper CFVFP. This paper presents a new algorithm for solving incomplete information games - CFVFP, which has better results than MCCFR in some games. The paper has been accepted by NeurIPS 2024.

[NeurIPS 2024] | An Efficient Recipe for Long Context Extension via Middle-Focused Positional Encoding

Official implementation of the NeurIPS 24 paper "Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor"

KD-LoRA: A Hybrid Approach to Efficient Fine-Tuning with LoRA and Knowledge Distillation

Algebraic Positional Encodings

[NeurIPS 2024] TALoS: Enhancing Semantic Scene Completion via Test-time Adaptation on the Line of Sight

[NeurIPS'24] How Does Message Passing Improve Collaborative Filtering?

[NeurIPS 2024] Official implementation of "BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion Models".

[NeurIPS 2024] Conjugated Semantic Pool Improves OOD Detection with Pre-trained Vision-Language Models

(NeurIPS 2024) What Makes CLIP More Robust to Long-Tailed Pre-Training Data? A Controlled Study for Transferable Insights d Study on CLIP for Transferable Insights

Official Implementation (Pytorch) of the "LLaMo: Large Language Model-based Molecular Graph Assistant", NeurIPS 2024

Code for the paper "Differentiable Task Graph Learning: Procedural Activity Representation and Online Mistake Detection from Egocentric Videos" [NeurIPS (spotlight), 2024]

🧼🔎 A holistic self-supervised data cleaning strategy to detect irrelevant samples, near duplicates and label errors (NeurIPS'24).

Official implementation of paper "Unveiling the Tapestry of Consistency in Large Vision-Language Models", NeurIPS 2024.

Official code of "Fully Explicit Dynamic Gaussian Splatting (NeurIPS 2024)"