supasorn / GoogleScholarCopyBibTeXLinks
Copy BibTeX on Google Scholar Search page with a single click
☆20Updated last year
Alternatives and similar repositories for GoogleScholarCopyBibTeX
Users that are interested in GoogleScholarCopyBibTeX are comparing it to the libraries listed below
Sorting:
- Implementation of the Gumbel-Sigmoid distribution in PyTorch.☆21Updated 3 years ago
- Official Implementation of Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction (2020)☆201Updated 2 years ago
- [TPAMI 2022] "Bag of Tricks for Training Deeper Graph Neural Networks A Comprehensive Benchmark Study" by Tianlong Chen*, Kaixiong Zhou*,…☆125Updated 3 years ago
- The repository includes evidence that a published paper in TKDE shares surprisingly high similarity to our paper.☆32Updated 2 years ago
- LaTeX template to outline and draft academic papers (or theses) in Computer Science (in English and German language)☆125Updated 4 years ago
- Code repository for the paper "Invariant and Transportable Representations for Anti-Causal Domain Shifts"☆16Updated 3 years ago
- This is the CUDA GPU implementation + Python interface (using PyTorch) of DCI. The paper can be found at https://arxiv.org/abs/1512.00442…☆13Updated last year
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆37Updated 2 years ago
- Code used in "Understanding Dimensional Collapse in Contrastive Self-supervised Learning" paper.☆79Updated 3 years ago
- Deep Learning & Information Bottleneck☆61Updated 2 years ago
- Template and style files for ICLR☆251Updated last month
- Pytorch Implementation of the Nonlinear Information Bottleneck☆39Updated last year
- The official implementation of ''Can Graph Neural Networks Count Substructures?'' NeurIPS 2020☆35Updated 4 years ago
- Multiscale de-noising score matching☆20Updated 4 years ago
- Figures I made during my PhD in Deep Learning, for my models and for context☆83Updated 4 years ago
- Code for Neural Manifold Clustering and Embedding☆61Updated 3 years ago
- Official implementation of "Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks", NeurIPS 2021.☆32Updated 6 months ago
- Code for the intrinsic dimensionality estimate of data representations☆84Updated 5 years ago
- ICLR 2023 Paper submission analysis from https://openreview.net/group?id=ICLR.cc/2023/Conference☆106Updated 3 years ago
- [NeurIPS 2021] A Geometric Analysis of Neural Collapse with Unconstrained Features☆59Updated 3 years ago
- A simple LaTeX template for Technical Reports, arXiv preprints & 2-column Conference papers☆95Updated 7 years ago
- "Do We Need Anisotropic Graph Neural Networks?" at ICLR 2022☆33Updated 3 years ago
- Implicit Graph Neural Networks☆64Updated 3 years ago
- The official PyTorch implementation of the paper: Xili Dai, Shengbang Tong, et al. "Closed-Loop Data Transcription to an LDR via Minimaxi…☆63Updated 2 years ago
- code for paper "Graph Structure of Neural Networks"☆155Updated 4 years ago
- Robust Learning with the Hilbert-Schmidt Independence Criterion☆47Updated 5 years ago
- PyTorch implementation of LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS☆31Updated 5 years ago
- [ICLR2023] NTK-SAP: Improving neural network pruning by aligning training dynamics☆20Updated 2 years ago
- PyTorch implementation of the paper "Discovering and Explaining the Representation Bottleneck of DNNs" (ICLR 2022 Oral)☆37Updated 11 months ago
- [NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch☆67Updated 2 years ago