Topic: bcai Goto Github
Some thing interesting about bcai
Some thing interesting about bcai
bcai,Baseline code for DCASE 2024 Task10 and ICASSP 2024 paper
Organization: boschresearch
bcai,Dataset of a collection of commonsense knowledge assertions relevant for the autonomous driving (AD) domain.
Organization: boschresearch
bcai,Resources related to EMNLP 2021 paper "FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input Representations"
Organization: boschresearch
bcai,Official implementation of "Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive" (ICLR 2024)
Organization: boschresearch
Home Page: https://yumengli007.github.io/ALDM/
bcai,Code base for physics-based photorealistic rendering within the scope of Bosch BCAI AMIRA probject
Organization: boschresearch
Home Page: https://boschresearch.github.io/amira_blender_rendering/
bcai,AnnoCTR corpus for detection and linking of entities in cyber threat reports
Organization: boschresearch
bcai,Source code for Volpp et al., "Bayesian Context Aggregation for Neural Processes", ICLR 2021
Organization: boschresearch
Home Page: https://openreview.net/forum?id=ufZN2-aehFa
bcai,Bosch solution to CHAMPS Kaggle competition
Organization: boschresearch
bcai,Blackbox optimization algorithms with a common interface, along with useful helpers like parallel optimization loops, analysis and visualization scripts.
Organization: boschresearch
Home Page: https://boschresearch.github.io/blackboxopt/
bcai,ClusterDataSplit: Exploring Challenging Clustering-Based Data Splits for Model Performance Evaluation
Organization: boschresearch
bcai,Code accompanying Coling2020 publication on data augmentation for named entity recognition
Organization: boschresearch
bcai,Implementation prototype of the Deep Deterministic Off-Policy Gradient (DD-OPG) method.
Organization: boschresearch
bcai,Official implementation of "Accurate Training Data for Occupancy Map Prediction in Automated Driving Using Evidence Theory"
Organization: boschresearch
bcai,Code for the ICLR 2024 paper Federated Text-driven Prompt Generation for Vision-Language Models (https://openreview.net/forum?id=NW31gAylIm)
Organization: boschresearch
bcai,Code for toy dataset generation of "Grid Saliency for Context Explanations of Semantic Segmentation" (https://arxiv.org/abs/1907.13054)
Organization: boschresearch
bcai,Implementation of the paper "Understanding anomaly detection with deep invertible networks through hierarchies of distributions and features" (NeurIPS 2020)
Organization: boschresearch
bcai,Source code for Bechtold et al., "Fostering Generalization in Single-view 3D Reconstruction by Learning a Hierarchy of Local and Global Shape Priors", CVPR 2021.
Organization: boschresearch
bcai,Official Implementation of "Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning".
Organization: boschresearch
Home Page: https://arxiv.org/abs/2006.13092
bcai,Companion code for the self-supervised anomaly detection algorithm proposed in the paper "Detecting Anomalies within Time Series using Local Neural Transformations" by Tim Schneider et al.
Organization: boschresearch
bcai,Official Implementation of the paper "Multi-Class Multi-Instance Count Conditioned Adversarial Image Generation" (ICCV 2021).
Organization: boschresearch
bcai,Tensorflow implementation of Meta Adversarial Training for Adversarial Patch Attacks on Tiny ImageNet.
Organization: boschresearch
Home Page: https://arxiv.org/abs/2101.11453
bcai,Companion code for the paper "Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks" by Yatsura et al.
Organization: boschresearch
bcai,Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization
Organization: boschresearch
Home Page: https://openreview.net/forum?id=ryeYpJSKwr
bcai,Meta-Learning of Neural Architectures for Few-Shot Learning
Organization: boschresearch
bcai,Code and resources for the NAACL 2024 paper "Rehearsal-Free Modular and Compositional Continual Learning for Language Models"
Organization: boschresearch
bcai,Source code for Fathony, Sahu, Willmott, & Kolter, "Multiplicative Filter Networks", ICLR 2021.
Organization: boschresearch
bcai,This is the companion code for the paper Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization by Lukas P. Fröhlich et al., AISTATS 2020
Organization: boschresearch
Home Page: http://proceedings.mlr.press/v108/frohlich20a.html
bcai,Code accompanying the ICLR 2021 paper "ResNet After All? Neural ODEs and Their Numerical Solution"
Organization: boschresearch
bcai,Implementation and Knowledge Graphs of the ICCV 2023 workshop paper "nuScenes Knowledge Graph - A comprehensive semantic representation of traffic scenes for trajectory prediction"
Organization: boschresearch
bcai,Official implementation of the paper "You Only Need Adversarial Supervision for Semantic Image Synthesis" (ICLR 2021)
Organization: boschresearch
bcai,[CVPR 2024] Open3DSG: Open-Vocabulary 3D Scene Graphs from Point Clouds with Queryable Objects and Open-Set Relationships
Organization: boschresearch
bcai,Code for "Progressive Augmentation of GANs" (https://arxiv.org/abs/1901.10422)
Organization: boschresearch
bcai,Implementation of the PAC Bayesian GP learning method.
Organization: boschresearch
bcai,Define parameter spaces of mixed types like continuous, integers and categoricals along with conditionalities and priors.
Organization: boschresearch
Home Page: https://boschresearch.github.io/parameterspace/
bcai,Python implementation of the PR-SSM.
Organization: boschresearch
bcai,RobertNLP Enhanced Universal Dependencies Parser
Organization: boschresearch
bcai,Source code for Sheikholeslami et al., "Provably Robust Classification of Adversarial Examples with Detection", ICLR 2021.
Organization: boschresearch
bcai,Resources related to ACL 2020 paper "The SOFC-Exp Corpus and Neural Approaches to Information Extraction in the Materials Science Domain"
Organization: boschresearch
bcai,A toolbox to explore synchronous layerwise-parallel deep neural networks.
Organization: boschresearch
bcai,This is the companion code for the method reported in the paper "Learning game-theoretic models of multiagent trajectories using implicit layers" published at AAAI 2021
Organization: boschresearch
bcai,Official implementation of the ICLR 2021 paper "Differentiable Trust Region Layers for Deep Reinforcement Learning"
Organization: boschresearch
bcai,Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)
Organization: boschresearch
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