Topic: paper-resource Goto Github
Some thing interesting about paper-resource
Some thing interesting about paper-resource
paper-resource,Resources related to EMNLP 2021 paper "FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input Representations"
Organization: boschresearch
paper-resource,Official implementation of "Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive" (ICLR 2024)
Organization: boschresearch
Home Page: https://yumengli007.github.io/ALDM/
paper-resource,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/
paper-resource,AnnoCTR corpus for detection and linking of entities in cyber threat reports
Organization: boschresearch
paper-resource,
Organization: boschresearch
Home Page: https://boschresearch.github.io/causalAssembly/
paper-resource,data set for process monitoring on CNC machines
Organization: boschresearch
paper-resource,
Organization: boschresearch
paper-resource,Accompanying code for the paper "Conditional Unscented Autoencoders for Trajectory Prediction"
Organization: boschresearch
Home Page: https://arxiv.org/abs/2310.19944
paper-resource,Code accompanying Coling2020 publication on data augmentation for named entity recognition
Organization: boschresearch
paper-resource,Implementation prototype of the Deep Deterministic Off-Policy Gradient (DD-OPG) method.
Organization: boschresearch
paper-resource,Official implementation of "Accurate Training Data for Occupancy Map Prediction in Automated Driving Using Evidence Theory"
Organization: boschresearch
paper-resource,Official PyTorch implementation of the paper "Utilizing Expert Features for Contrastive Learning of Time-Series Representations"
Organization: boschresearch
paper-resource,Code of the paper 'Raising the Bar in Graph-level Anomaly Detection' published in IJCAI-2022
Organization: boschresearch
paper-resource,Code for toy dataset generation of "Grid Saliency for Context Explanations of Semantic Segmentation" (https://arxiv.org/abs/1907.13054)
Organization: boschresearch
paper-resource,Implementation of the paper "Understanding anomaly detection with deep invertible networks through hierarchies of distributions and features" (NeurIPS 2020)
Organization: boschresearch
paper-resource,
Organization: boschresearch
paper-resource,The Hybrid Modeling Notebook
Organization: boschresearch
paper-resource,Official Implementation of "Multi-Class Uncertainty Calibration via Mutual Information Maximization-based Binning".
Organization: boschresearch
Home Page: https://arxiv.org/abs/2006.13092
paper-resource,Coder of the paper 'Latent Outlier Exposure for Anomaly Detectin with Contaminated Data' published in ICML 2022
Organization: boschresearch
paper-resource,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
paper-resource,Tensorflow implementation of Meta Adversarial Training for Adversarial Patch Attacks on Tiny ImageNet.
Organization: boschresearch
Home Page: https://arxiv.org/abs/2101.11453
paper-resource,Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization
Organization: boschresearch
Home Page: https://openreview.net/forum?id=ryeYpJSKwr
paper-resource,Meta-Learning of Neural Architectures for Few-Shot Learning
Organization: boschresearch
paper-resource,Source code for Fathony, Sahu, Willmott, & Kolter, "Multiplicative Filter Networks", ICLR 2021.
Organization: boschresearch
paper-resource,Code of the paper 'Neural Transformation Learning for Anomaly Detection' published in ICML 2021
Organization: boschresearch
paper-resource,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
paper-resource,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
paper-resource,Official implementation of the paper "You Only Need Adversarial Supervision for Semantic Image Synthesis" (ICLR 2021)
Organization: boschresearch
paper-resource,Official PyTorch implementation of the paper "Generating Novel Scene Compositions from Single Images and Videos"
Organization: boschresearch
paper-resource,[CVPR 2024] Open3DSG: Open-Vocabulary 3D Scene Graphs from Point Clouds with Queryable Objects and Open-Set Relationships
Organization: boschresearch
paper-resource,Implementation of the PAC Bayesian GP learning method.
Organization: boschresearch
paper-resource,[DEPRECATED] Procedural generation library for Gazebo (please refer to https://github.com/boschresearch/pcg_gazebo)
Organization: boschresearch
Home Page: https://boschresearch.github.io/pcg_gazebo_pkgs/
paper-resource,Python implementation of the PR-SSM.
Organization: boschresearch
paper-resource,This is the code accompanying the AAAI 2022 paper "Ranking Info Noise Contrastive Estimation: Boosting Contrastive Learning via Ranked Positives" https://arxiv.org/abs/2201.11736 . The method allows you to use additional ranking information for representation learning.
Organization: boschresearch
paper-resource,Supplementary source code for the ECRTS 2019 paper 'Response-Time Analysis of ROS 2 Processing Chains under Reservation-Based Scheduling'
Organization: boschresearch
paper-resource,Simultaneous task allocation and motion scheduling (STAAMS) solver based on constraint programming and optimization, implemented for the Robot Operating System (ROS)
Organization: boschresearch
paper-resource,A synthetic 24 hour traffic scenario for a 45 km section of the German highway A81 between Stuttgart Feuerbach - Heilbronn (Baden-Württemberg) based on realistic traffic data.
Organization: boschresearch
paper-resource,Resources related to EACL 2023 paper "SwitchPrompt: Learning Domain-Specific Gated Soft Prompts for Classification in Low-Resource Domains"
Organization: boschresearch
paper-resource,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
paper-resource,Model-Based Uncertainty in Value Functions (AISTATS2023)
Organization: boschresearch
paper-resource,Official Implementation of the paper "A U-Net Based Discriminator for Generative Adversarial Networks" (CVPR 2020)
Organization: boschresearch
paper-resource,Accompanying code for the ICML'23 paper "Unscented Autoencoder", authored by Faris Janjos, Lars Rosenbaum, Maxim Dolgov, and J. Marius Zoellner.
Organization: boschresearch
paper-resource,Official Implementation of the paper "Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translation" (ECCV 2022)
Organization: boschresearch
paper-resource,[CVPR 2022] What Matters For Meta-Learning Vision Regression Tasks?
Organization: boschresearch
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