Papers Prediction
“Prediction” 태그가 달린 논문 8,760편 · 필터 해제
Multi-Strategy Improved Snake Optimizer Accelerated CNN-LSTM-Attention-Adaboost for Trajectory Prediction
To address the limitations of medium- and long-term four-dimensional (4D) trajectory prediction models, this paper proposes a hybrid CNN-LSTM-attention-adaboost neural network model incorporating a multi-strategy improve…
PredictionTrajectory PredictionGenerative Click-through Rate Prediction with Applications to Search Advertising
Click-Through Rate (CTR) prediction models are integral to a myriad of industrial settings, such as personalized search advertising. Current methods typically involve feature extraction from users' historical behavior se…
Click-Through Rate PredictionPredictionConformation-Aware Structure Prediction of Antigen-Recognizing Immune Proteins
We introduce Ibex, a pan-immunoglobulin structure prediction model that achieves state-of-the-art accuracy in modeling the variable domains of antibodies, nanobodies, and T-cell receptors. Unlike previous approaches, Ibe…
PredictionProtein Structure PredictionFoundation models for time series forecasting: Application in conformal prediction
The zero-shot capabilities of foundation models (FMs) for time series forecasting offer promising potentials in conformal prediction, as most of the available data can be allocated to calibration. This study compares the…
Conformal PredictionPredictionPrediction IntervalsTime Series+1Predicting Graph Structure via Adapted Flux Balance Analysis
Many dynamic processes such as telecommunication and transport networks can be described through discrete time series of graphs. Modelling the dynamics of such time series enables prediction of graph structure at future …
PredictionTime SeriesTime Series PredictionSpeech Quality Assessment Model Based on Mixture of Experts: System-Level Performance Enhancement and Utterance-Level Challenge Analysis
Automatic speech quality assessment plays a crucial role in the development of speech synthesis systems, but existing models exhibit significant performance variations across different granularity levels of prediction ta…
Data AugmentationMixture-of-ExpertsPredictionSelf-Supervised Learning+5A Wireless Foundation Model for Multi-Task Prediction
With the growing complexity and dynamics of the mobile communication networks, accurately predicting key system parameters, such as channel state information (CSI), user location, and network traffic, has become essentia…
modelPredictionPrediction IntervalsHigh Order Collaboration-Oriented Federated Graph Neural Network for Accurate QoS Prediction
Predicting Quality of Service (QoS) data crucial for cloud service selection, where user privacy is a critical concern. Federated Graph Neural Networks (FGNNs) can perform QoS data prediction as well as maintaining user …
Computational EfficiencyGraph Neural NetworkPredictionFMOcc: TPV-Driven Flow Matching for 3D Occupancy Prediction with Selective State Space Model
3D semantic occupancy prediction plays a pivotal role in autonomous driving. However, inherent limitations of fewframe images and redundancy in 3D space compromise prediction accuracy for occluded and distant scenes. Exi…
3D Semantic Occupancy PredictionAutonomous DrivingPredictionCautious Next Token Prediction
Next token prediction paradigm has been prevailing for autoregressive models in the era of LLMs. The current default sampling choice for popular LLMs is temperature scaling together with nucleus sampling to balance diver…
PredictionLocality-aware Parallel Decoding for Efficient Autoregressive Image Generation
We present Locality-aware Parallel Decoding (LPD) to accelerate autoregressive image generation. Traditional autoregressive image generation relies on next-patch prediction, a memory-bound process that leads to high late…
Image GenerationPredictionUnderstanding Generalization in Node and Link Prediction
Using message-passing graph neural networks (MPNNs) for node and link prediction is crucial in various scientific and industrial domains, which has led to the development of diverse MPNN architectures. Besides working we…
Link PredictionPredictionWhere, What, Why: Towards Explainable Driver Attention Prediction
Modeling task-driven attention in driving is a fundamental challenge for both autonomous vehicles and cognitive science. Existing methods primarily predict where drivers look by generating spatial heatmaps, but fail to c…
Autonomous DrivingAutonomous VehiclesDriver Attention MonitoringLarge Language Model+2Whole-Body Conditioned Egocentric Video Prediction
We train models to Predict Ego-centric Video from human Actions (PEVA), given the past video and an action represented by the relative 3D body pose. By conditioning on kinematic pose trajectories, structured by the joint…
PredictionVideo PredictionOut-of-Distribution Semantic Occupancy Prediction
3D Semantic Occupancy Prediction is crucial for autonomous driving, providing a dense, semantically rich environmental representation. However, existing methods focus on in-distribution scenes, making them susceptible to…
3D Semantic Occupancy PredictionAutonomous DrivingPredictionGoIRL: Graph-Oriented Inverse Reinforcement Learning for Multimodal Trajectory Prediction
Trajectory prediction for surrounding agents is a challenging task in autonomous driving due to its inherent uncertainty and underlying multimodality. Unlike prevailing data-driven methods that primarily rely on supervis…
Autonomous DrivingMotion ForecastingPredictionTrajectory PredictionPrompt-Guided Turn-Taking Prediction
Turn-taking prediction models are essential components in spoken dialogue systems and conversational robots. Recent approaches leverage transformer-based architectures to predict speech activity continuously and in real-…
Language ModelingLanguage ModellingLarge Language ModelPrediction+1Wild refitting for black box prediction
We describe and analyze a computionally efficient refitting procedure for computing high-probability upper bounds on the instance-wise mean-squared prediction error of penalized nonparametric estimates based on least-squ…
Image RestorationPredictionGraph-Structured Feedback Multimodel Ensemble Online Conformal Prediction
Online conformal prediction has demonstrated its capability to construct a prediction set for each incoming data point that covers the true label with a predetermined probability. To cope with potential distribution shif…
Conformal PredictionPredictionZero-Shot Learning for Obsolescence Risk Forecasting
Component obsolescence poses significant challenges in industries reliant on electronic components, causing increased costs and disruptions in the security and availability of systems. Accurate obsolescence risk predicti…
PredictionZero-Shot Learning