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Search results for python iclr2023

22 search results found

Spark ⭐ 1,355

[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"

[ICLR 2023 Oral] Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model

[ICLR'23 Spotlight] MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction

Lightweight Neural Architecture Search ⭐ 283

This is a collection of our zero-cost NAS and efficient vision applications.

Visual_token_matching ⭐ 213

[ICLR'23 Oral] Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching

Difformer ⭐ 204

The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"

Official Code of Paper "Reversible Column Networks" "RevColv2"

universal visual model trained on LAION-400M

[ICLR 2023] PyTorch implementation of VLDet （https://arxiv.org/abs/2211.14843）

Official repository of DDM2: Self-Supervised Diffusion MRI Denoising with Generative Diffusion Models, ICLR2023

Targetdiff ⭐ 85

The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)

Mkg_analogy ⭐ 56

Code and datasets for the ICLR2023 paper "Multimodal Analogical Reasoning over Knowledge Graphs."

[ICLR 2023] Selective Frequency Network for Image Restoration

WikiWhy is a new benchmark for evaluating LLMs' ability to explain between cause-effect relationships. It is a QA dataset containing 9000+ "why" question-answer-rationale triplets.

Gradientgating ⭐ 29

Gradient gating (ICLR 2023)

Cognitivedistillation ⭐ 27

[ICLR2023] Distilling Cognitive Backdoor Patterns within an Image

[ICLR 2023] Masked Frequency Modeling for Self-Supervised Visual Pre-Training

Marl Lipo ⭐ 13

Official codebase for Generating Diverse Cooperative Agents by Learning Incompatible Policies (notable-top-25% @ ICLR 2023)

Nondeterministic Stack Rnn ⭐ 13

Code for the paper "The Surprising Computational Power of Nondeterministic Stack RNNs" (DuSell and Chiang, 2023)

Transformer-based World Models

Protopdebug ⭐ 9

Implementation of Concept-level Debugging of Part-Prototype Networks

[ICLR2023] Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (https://arxiv.org/abs/2210.00226)

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