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Found 19 papers, 5 papers with code
LAiW: A Chinese Legal Large Language Models Benchmark
Through automated evaluation of current general and legal domain LLMs on our benchmark, we indicate that these LLMs may not align with the logic of legal practice.
Individual Causal Inference Using Panel Data With Multiple Outcomes
Policy evaluation in empirical microeconomics has been focusing on estimating the average treatment effect and more recently the heterogeneous treatment effects, often relying on the unconfoundedness assumption.
The Synthetic Control Method with Nonlinear Outcomes: Estimating the Impact of the 2019 Anti-Extradition Law Amendments Bill Protests on Hong Kong's Economy
The synthetic control estimator (Abadie et al., 2010) is asymptotically unbiased assuming that the outcome is a linear function of the underlying predictors and that the treated unit can be well approximated by the synthetic control before the treatment.
Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction
3D-aware image synthesis encompasses a variety of tasks, such as scene generation and novel view synthesis from images.
Synthetic Controls with Multiple Outcomes: Estimating the Effects of Non-Pharmaceutical Interventions in the COVID-19 Pandemic
We propose a generalization of the synthetic control method to a multiple-outcome framework, which improves the reliability of treatment effect estimation.
Modeling and Joint Optimization of Security, Latency, and Computational Cost in Blockchain-based Healthcare Systems
In the era of the Internet of Things (IoT), blockchain is a promising technology for improving the efficiency of healthcare systems, as it enables secure storage, management, and sharing of real-time health data collected by the IoT devices.
EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation
In this paper, we propose the EPro-PnP, a probabilistic PnP layer for general end-to-end pose estimation, which outputs a distribution of pose with differentiable probability density on the SE(3) manifold.
Ranked #4 on
6D Pose Estimation using RGB
on LineMOD
An Attention-based Long Short-Term Memory Framework for Detection of Bitcoin Scams
This paper considers a multi-class classification problem to determine whether a transaction is involved in Ponzi schemes or other cyber scams, or is a non-scam transaction.
EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation
The 2D-3D coordinates and corresponding weights are treated as intermediate variables learned by minimizing the KL divergence between the predicted and target pose distribution.
Ranked #6 on
6D Pose Estimation using RGB
on LineMOD
SeqMapPDB: A Standalone Pipeline to Identify Representative Structures of Protein Sequences and Mapping Residue Indices in Real-Time at Proteome Scale
Furthermore, SeqMapPDB provides the flexibility of a stand-alone pipeline for large scale mapping of in-house sequence and structure data.
Event-driven Two-stage Solution to Non-intrusive Load Monitoring
Existing methods of non-intrusive load monitoring (NILM) in literatures generally suffer from high computational complexity and/or low accuracy in identifying working household appliances.
Non-Intrusive Load Monitoring
Vocal Bursts Valence Prediction
Adaptive Event Detection for Representative Load Signature Extraction
Event detection is the first step in event-based non-intrusive load monitoring (NILM) and it can provide useful transient information to identify appliances.
MonoRUn: Monocular 3D Object Detection by Reconstruction and Uncertainty Propagation
To regress the pixel-related 3D object coordinates, we employ a regional reconstruction network with uncertainty awareness.
Ranked #17 on
Monocular 3D Object Detection
on KITTI Cars Moderate
Canted antiferromagnetic order and spin dynamics in the honeycomb-lattice Tb2Ir3Ga9
Despite the $J_{{\rm eff}}=1/2$ moments, the spin Hamiltonian is denominated by a large in-plane anisotropy $K_z \sim -1$ meV.
Strongly Correlated Electrons Materials Science
Exact Topology of Dynamic Probability Surface of an Activated Process by Persistent Homology
To gain insight into reaction mechanism of activated processes, we introduce an exact approach for quantifying the topology of high-dimensional probability surfaces of the underlying dynamic processes.
Mathematical Physics Mathematical Physics
DsMCL: Dual-Level Stochastic Multiple Choice Learning for Multi-Modal Trajectory Prediction
One of the important and inherent factors is the multi-modality of vehicle motion.
Detecting Lane and Road Markings at A Distance with Perspective Transformer Layers
This is due to the fact that distant lane and road markings occupy a small number of pixels in the image, and scales of lane and road markings are inconsistent at various distances and perspectives.
End-to-end driving simulation via angle branched network
Imitation learning for end-to-end autonomous driving has drawn attention from academic communities.
