yusuke1997/dblp-id-title huggingface dataset:
How Learning by Reconstruction Produces Uninformative Features For Perception
Bias and variance in value function estimation
Consistent Structured Prediction with Max-Min Margin Markov Networks
TabNAT: A Continuous-Discrete Joint Generative Framework for Tabular Data
Probabilistic Recurrent State-Space Models
Entropic Causal Inference: Graph Identifiability
DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning
p-Laplacian Based Graph Neural Networks
OmniArch: Building Foundation Model for Scientific Computing
LDMol: A Text-to-Molecule Diffusion Model with Structurally Informative Latent Space Surpasses AR Models
Network Tight Community Detection
Non-stationary Online Learning for Curved Losses: Improved Dynamic Regret via Mixability
Generalization and Exploration via Randomized Value Functions
Overcoming Oscillations in Quantization-Aware Training
BECAME: Bayesian Continual Learning with Adaptive Model Merging
Saliency strikes back: How filtering out high frequencies improves white-box explanations
Fast Text-to-3D-Aware Face Generation and Manipulation via Direct Cross-modal Mapping and Geometric Regularization
Randomly Projected Additive Gaussian Processes for Regression
Leveraging Low-Rank Relations Between Surrogate Tasks in Structured Prediction
Two Heads are Better Than One: Hypergraph-Enhanced Graph Reasoning for Visual Event Ratiocination
Uniform Deviation Bounds for k-Means Clustering
Accurate Post Training Quantization With Small Calibration Sets
Neural Event-Triggered Control with Optimal Scheduling
Position: Is machine learning good or bad for the natural sciences?
Orthogonal Random Forest for Causal Inference
Differentially Private Bayesian Optimization
Invariant Ancestry Search
Core Context Aware Transformers for Long Context Language Modeling
On Lower Bounds for Standard and Robust Gaussian Process Bandit Optimization
Emergence and Effectiveness of Task Vectors in In-Context Learning: An Encoder Decoder Perspective
Self-Supervised Learning of Intertwined Content and Positional Features for Object Detection
Interpreting and Improving Deep-Learning Models with Reality Checks
Surprisingly Strong Performance Prediction with Neural Graph Features
One-shot Distributed Ridge Regression in High Dimensions
Spectral Bandits for Smooth Graph Functions
Online and batch learning of pseudo-metrics
Stochastic Inference for Scalable Probabilistic Modeling of Binary Matrices
Efficient Non-Linear Control by Combining Q-learning with Local Linear Controllers
On p-norm Path Following in Multiple Kernel Learning for Non-linear Feature Selection
Tutorial summary: Reductions in machine learning
Parameter-Level Soft-Masking for Continual Learning
Bayesian Regret Minimization in Offline Bandits
Does label smoothing mitigate label noise?
Target Networks and Over-parameterization Stabilize Off-policy Bootstrapping with Function Approximation
Nearly Optimal Robust Subspace Tracking
Implicit Representations via Operator Learning
A general regression technique for learning transductions
GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer
Dirichlet Simplex Nest and Geometric Inference
Survival Analysis via Density Estimation
AutoIP: A United Framework to Integrate Physics into Gaussian Processes
Learning Bounds for Open-Set Learning
Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality
Workshop summary: Results of the 2009 reinforcement learning competition
Architecture Agnostic Federated Learning for Neural Networks
Probabilistic Submodular Maximization in Sub-Linear Time
BAnG: Bidirectional Anchored Generation for Conditional RNA Design
Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels
LoCoCo: Dropping In Convolutions for Long Context Compression
SAEBench: A Comprehensive Benchmark for Sparse Autoencoders in Language Model Interpretability
QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning
Adaptive Monte Carlo via Bandit Allocation
Synthesis of Abstraction Hierarchies for Constraint Satisfaction by Clustering Approximately Equivalent Objects
Implicit rate-constrained optimization of non-decomposable objectives
Auditing $f$-differential privacy in one run
Learning Classification Rules Using Bayes
Prompt-guided Precise Audio Editing with Diffusion Models
Entire regularization paths for graph data
Self-Supervised Coarsening of Unstructured Grid with Automatic Differentiation
Adversarially Trained Actor Critic for Offline Reinforcement Learning
GC-Flow: A Graph-Based Flow Network for Effective Clustering
Two Fists, One Heart: Multi-Objective Optimization Based Strategy Fusion for Long-tailed Learning
Neural Interpretable PDEs: Harmonizing Fourier Insights with Attention for Scalable and Interpretable Physics Discovery
Task-specific experimental design for treatment effect estimation
Learning Convex QP Relaxations for Structured Prediction
Causal Structure Discovery from Distributions Arising from Mixtures of DAGs
Budget Allocation Problem with Multiple Advertisers: A Game Theoretic View
"Hey, that's not an ODE": Faster ODE Adjoints via Seminorms
Active Label Correction for Semantic Segmentation with Foundation Models
Tuning Sequential Monte Carlo Samplers via Greedy Incremental Divergence Minimization
MorphVAE: Generating Neural Morphologies from 3D-Walks using a Variational Autoencoder with Spherical Latent Space
Stochastic Layer-Wise Shuffle for Improving Vision Mamba Training
Amend to Alignment: Decoupled Prompt Tuning for Mitigating Spurious Correlation in Vision-Language Models
Learning Dynamics of Linear Denoising Autoencoders
Instrumental Variable Estimation of Average Partial Causal Effects
BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback
OPT-KD: An Algorithm for Optimizing Kd-Trees
Consistency versus Realizable H-Consistency for Multiclass Classification
Learning Sum-Product Networks with Direct and Indirect Variable Interactions
Training Binary Neural Networks using the Bayesian Learning Rule
End-to-end Differentiable Clustering with Associative Memories
Controlling Conditional Language Models without Catastrophic Forgetting
Spectral Experts for Estimating Mixtures of Linear Regressions
A Near-Linear Time Approximation Algorithm for Beyond-Worst-Case Graph Clustering
Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks
X-Paste: Revisiting Scalable Copy-Paste for Instance Segmentation using CLIP and StableDiffusion
Private Adaptive Gradient Methods for Convex Optimization
Tails of Lipschitz Triangular Flows
Heterogeneous Risk Minimization
Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere
MindCustomer: Multi-Context Image Generation Blended with Brain Signal
Improving the Effective Receptive Field of Message-Passing Neural Networks
Linear Lower Bounds and Conditioning of Differentiable Games
Continuous Control with Action Quantization from Demonstrations
Learning the Central Events and Participants in Unlabeled Text
Reinforcement Learning with Adaptive Reward Modeling for Expensive-to-Evaluate Systems
A Description of Preference Criterion in Constructive Learning: A Discussion of Basis Issues
Stability and Generalization of Stochastic Compositional Gradient Descent Algorithms
Generalized Teacher Forcing for Learning Chaotic Dynamics
Efficient Multi-Instance Learning for Activity Recognition from Time Series Data Using an Auto-Regressive Hidden Markov Model
Learning Collection Fusion Strategies for Information Retrieval
SAPG: Split and Aggregate Policy Gradients
The Privacy Power of Correlated Noise in Decentralized Learning
Video-LaVIT: Unified Video-Language Pre-training with Decoupled Visual-Motional Tokenization
A Kernel Test of Goodness of Fit
KernelWarehouse: Rethinking the Design of Dynamic Convolution
Benefits of Overparameterized Convolutional Residual Networks: Function Approximation under Smoothness Constraint
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction
Towards Understanding and Mitigating Social Biases in Language Models
Hallucinative Topological Memory for Zero-Shot Visual Planning
Representations for Stable Off-Policy Reinforcement Learning
Learning from Memory: Non-Parametric Memory Augmented Self-Supervised Learning of Visual Features
Purifying Quantization-conditioned Backdoors via Layer-wise Activation Correction with Distribution Approximation
Learning Sleep Stages from Radio Signals: A Conditional Adversarial Architecture
Large-scale collaborative prediction using a nonparametric random effects model
Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning
Open-Vocabulary Calibration for Fine-tuned CLIP
Memory Consolidation Enables Long-Context Video Understanding
LGDM: Latent Guidance in Diffusion Models for Perceptual Evaluations
Adversarial Attacks on Node Embeddings via Graph Poisoning
On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features
A kernel path algorithm for support vector machines
Existence and Estimation of Critical Batch Size for Training Generative Adversarial Networks with Two Time-Scale Update Rule
Rethinking Backdoor Attacks
Learning Linear Bayesian Networks with Latent Variables
Fair and Diverse DPP-Based Data Summarization
Exact Optimization of Conformal Predictors via Incremental and Decremental Learning
Deep Reinforcement Learning amidst Continual Structured Non-Stationarity
One for One, or All for All: Equilibria and Optimality of Collaboration in Federated Learning
Adafactor: Adaptive Learning Rates with Sublinear Memory Cost
Hashing with Graphs
Build Automation and Runtime Abstraction for Partial Reconfiguration on Xilinx Zynq UltraScale+
A High Energy-Efficiency FPGA-Based LSTM Accelerator Architecture Design by Structured Pruning and Normalized Linear Quantization
A Reconfigurable Multithreaded Accelerator for Recurrent Neural Networks
Implementation of a ROS-Based Autonomous Vehicle on an FPGA Board
Automatic Selection and Insertion of HLS Directives Via a Source-to-Source Compiler
How Much Does Regularity Help FPGA Placement?
Towards Overlay-based Rapid In-Circuit Tuning of Deep Learning Designs
Towards the Improvement of Training Efficiency and Image Recognition Accuracy for an FPGA Controlled Mini-Car by Offloading Neural Network Training
A High Performance FPGA-Based Accelerator Design for End-to-End Speaker Recognition System
Dependency-Aware Clustering for Variable-Grained Hardware-Software Partitioning
Evolved Binary Neural Networks Through Harnessing FPGA Capabilities
Design Method for an LUT Network-Based CNN with a Sparse Local Convolution
Real-Time Object Detection on 640x480 Image With VGG16+SSD
Extending the Lifetime of Coarse-Grained Runtime Reconfigurable FPGAs by Balancing Processing Element Usage
Synchronizing On-Chip Software and Hardware Traces for HLS-Accelerated Programs
A High Throughput Parallel Hash Table Accelerator on HBM-enabled FPGAs
Optimizing Fully Spectral Convolutional Neural Networks on FPGA
Neighbors From Hell: Voltage Attacks Against Deep Learning Accelerators on Multi-Tenant FPGAs
Partitioning FPGA-Optimized Systolic Arrays for Fun and Profit
Hybrid Network Utilization for Efficient Communication in a Tightly Coupled FPGA Cluster
ZytleBot: FPGA Integrated Development Platform for ROS Based Autonomous Mobile Robot
High Throughput and Low Latency Multi-Version Management Key-Value Storage Accelerator
Resource-Efficient Logarithmic Number Scale Arithmetic for SPN Inference on FPGAs
Static Block Floating-Point Quantization for Convolutional Neural Networks on FPGA
Evaluation of Partially Constant, Fine-Grained, Dynamic Partial Reconfigurable Functions in FPGAs
AutoBoxing: Improving GCC Passes to Optimize HW/SW Multi-Versioning of Kernels for HLS
Exploring performance enhancement of event-driven processor networks
Self-Driving Car Application of a Stream-Oriented Accelerator Framework
FPNet: Customized Convolutional Neural Network for FPGA Platforms
From TensorFlow Graphs to LUTs and Wires: Automated Sparse and Physically Aware CNN Hardware Generation
Lina: Timing-Constrained High-Level Synthesis Performance Estimator for Fast DSE
Implementing and Benchmarking Three Lattice-Based Post-Quantum Cryptography Algorithms Using Software/Hardware Codesign
A Reconfigurable Compute-in-the-Network FPGA Assistant for High-Level Collective Support with Distributed Matrix Multiply Case Study
An Open-Source Lightweight Timing Model for RapidWright
Unexpected Diversity: Quantitative Memory Analysis for Zynq UltraScale+ Systems
Learn to Place: FPGA Placement Using Reinforcement Learning and Directed Moves
SoC-FPGA-Based Implementation of Iris Recognition Enhanced by QC-LDPC Codes
Efficient OS Hardware Accelerators Preemption Management in FPGA
Beyond Peak Performance: Comparing the Real Performance of AI-Optimized FPGAs and GPUs
Survey on FPGAs in Medical Radiology Applications: Challenges, Architectures and Programming Models
Merge-Exchange Sort Based Discrete Gaussian Sampler with Fixed Memory Access Pattern
ZyNet: Automating Deep Neural Network Implementation on Low-Cost Reconfigurable Edge Computing Platforms
HILL: A Hardware Isolation Framework Against Information Leakage on Multi-Tenant FPGA Long-Wires
A Machine Learning Approach for Power Gating the FPGA Routing Network
Design and Development of Networked Multiple FPGA Components for Autonomous Tiny Robot Car
Implementation of Distributed Processing Using a PC-FPGA Hybrid System
An FPGA-Based Upper-Limb Rehabilitation Device for Gesture Recognition and Motion Evaluation Using Multi-Task Recurrent Neural Networks
Exploring Resource-Efficient Acceleration Algorithm for Transposed Convolution of GANs on FPGA
MajorityNets: BNNs Utilising Approximate Popcount for Improved Efficiency
Image Processing and Vehicles - Using FPGA to Reduce Latency of Time Critical Tasks
OBFS: OpenCL Based BFS Optimizations on Software Programmable FPGAs
Shrink It or Shed It! Minimize the Use of LSQs in Dataflow Designs
A High-Level Synthesis Approach to the Software/Hardware Codesign of NTT-Based Post-Quantum Cryptography Algorithms
Design and Implementation of Autonomous Driving Robot Car Using SoC FPGA
A Study on Switch Block Patterns for Tileable FPGA Routing Architectures
Reducing FPGA Compile Time with Separate Compilation for FPGA Building Blocks
Secure Internal Communication of a Trustzone-Enabled Heterogeneous Soc Lightweight Encryption
Lightweight Programmable DSP Block Overlay for Streaming Neural Network Acceleration
Revisiting Deep Learning Parallelism: Fine-Grained Inference Engine Utilizing Online Arithmetic
Jitter-based Adaptive True Random Number Generation for FPGAs in the Cloud
An SoC-FPGA-Based Micro UGV with Localization and Motion Planning
Storage Mirroring for Bare-Metal Malware Analysis on FPGA Devices
Improving Memory Access Locality for Vectorized Bit-Serial Matrix Multiplication in Reconfigurable Computing
INFER: INterFerence-aware Estimation of Runtime for Concurrent CNN Execution on DPUs
A Dataflow Pipelining Architecture for Tile Segmentation with a Sparse MobileNet on an FPGA
Optimized Polynomial Multiplier Over Commutative Rings on FPGAs: A Case Study on BIKE
International Conference on Field-Programmable Technology, (IC)FPT 2020, Maui, HI, USA, December 9-11, 2020
DASH: Design Automation for Synthesis and Hardware Generation for CNN
SkyCastle: A Resource-Aware Multi-Loop Scheduler for High-Level Synthesis
ReconROS: Flexible Hardware Acceleration for ROS2 Applications
Mapping Multiple LSTM models on FPGAs
Training Deep Neural Networks in Low-Precision with High Accuracy Using FPGAs
An OpenCL-Based Hybrid CNN-RNN Inference Accelerator On FPGA
Automatic Generation of Application-Specific FPGA Overlays with RapidWright
FPGA-Based Object Detection for Autonomous Driving System
Optimizing FPGA-Based Streaming Applications for Throughput Using Pipelining
Autonomous Driving Developed with an FPGA Design
A Low-Cost Reconfigurable Nonlinear Core for Embedded DNN Applications
Automatic Generation of Multi-Precision Multi-Arithmetic CNN Accelerators for FPGAs
Revisiting FPGA Routing under Varying Operating Conditions
International Conference on Field-Programmable Technology, FPT 2019, Tianjin, China, December 9-13, 2019
A 307-fps 351.7-GOPs/W Deep Learning FPGA Accelerator for Real-Time Scene Text Recognition
New Directions for NewHope: Improving Performance of Post-Quantum Cryptography through Algorithm-level Pipelining
Optimisation of System Throughput Exploiting Tasks Heterogeneity on Space Shared FPGAs
A Coarse-Grained Reconfigurable Architecture with a Fault Tolerant Non-Volatile Configurable Memory
Autonomous Vehicle Development Using FPGA for Image Processing
Moving Compute towards Data in Heterogeneous multi-FPGA Clusters using Partial Reconfiguration and I/O Virtualisation
Power-Aware FPGA Mapping of Convolutional Neural Networks
An Iterative Technique for Runtime Efficient Hardware-Software Partitioning
Cloud FPGA Security with RO-Based Primitives
Memory-Efficient Dataflow Inference for Deep CNNs on FPGA
Development of Autonomous Driving System Using Programmable SoCs
Performance Exploration on Pre-implemented CNN Hardware Accelerator on FPGA
High-Level Synthesis Techniques to Generate Deeply Pipelined Circuits for FPGAs with Registered Routing
Nonintrusive and Adaptive Monitoring for Locating Voltage Attacks in Virtualized FPGAs
Service Chaining for Heterogeneous Middleboxes
Winograd-Based Real-Time Super-Resolution System on FPGA
A Bucket-Stream rBRIEF Extraction Architecture for SLAM Applications on Embedded Platforms
In Search of Lost Bandwidth: Extensive Reordering of DRAM Accesses on FPGA
Designing Universal Logic Module FPGA Architectures for Use With Ambipolar Transistor Technology
An FPGA Accelerator for Bayesian Network Structure Learning with Iterative Use of Processing Elements
An Open Source FPGA-Optimized Out-of-Order RISC-V Soft Processor
GIB: A Novel Unidirectional Interconnection Architecture for FPGA
Pipelined Parallel Finite Automata Evaluation
Real-Time Anomaly Detection for Flight Testing Using AutoEncoder and LSTM
A Design Exploration of Scalable Mesh-based Fully Pipelined Accelerators
Parallelization of Recursive Function in Ruby-Based High-Level Synthesis
An Overlay for Rapid FPGA Debug of Machine Learning Applications
Bandwidth Efficient Near-Storage Accelerator for High-Dimensional Similarity Search
Amoeba-Inspired Hardware SAT Solver with Effective Feedback Control
Time-SWAD: A Dataflow Engine for Time-Based Single Window Stream Aggregation
ZFP-V: Hardware-Optimized Lossy Floating Point Compression
Scalable Low-Latency Persistent Neural Machine Translation on CPU Server with Multiple FPGAs
Ultra-Low-Latency Video Encoding on Heterogenous Hardware Platforms
CHIP-KNN: A Configurable and High-Performance K-Nearest Neighbors Accelerator on Cloud FPGAs
Battling the CPU Bottleneck in Apache Parquet to Arrow Conversion Using FPGA
Automated Integration of High-Level Synthesis FPGA Modules with ROS2 Systems
An OpenCL-Based FPGA Accelerator for Compressed YOLOv2
RNA: Reconfigurable LSTM Accelerator with Near Data Approximate Processing
A High-Throughput, Resource-Efficient Implementation of the RoCEv2 Remote DMA Protocol for Network-Attached Hardware Accelerators
A Complete CPU-FPGA Architecture for Protein Identification with Tandem Mass Spectrometry
A Complete Open Source Design Flow for Gowin FPGAs
ASAP: Automatic Sizing and Partitioning for Dynamic Memory Heaps in High-Level Synthesis
Network Enabled Partial Reconfiguration for Distributed FPGA Edge Acceleration
FlexBex: A RISC-V with a Reconfigurable Instruction Extension
Fast Linking of Separately-Compiled FPGA Blocks without a NoC
Acceleration of Short Read Alignment with Runtime Reconfiguration
SpWMM: A High-Performance Sparse-Winograd Matrix-Matrix Multiplication Accelerator for CNNs
OpenCL Implementation of Cannon's Matrix Multiplication Algorithm on Intel Stratix 10 FPGAs
StateReveal: Enabling Checkpointing of FPGA Designs with Buried State
High-Throughput and Low-Latency Distributed Management Proxy for Key-Value Store Over 100Gbps Ethernet on FPGA
Real-Time Automatic Modulation Classification
Enhanced Heterogeneous Cloud: Transparent Acceleration and Elasticity
Accelerated Approximate Nearest Neighbors Search Through Hierarchical Product Quantization
Hardware Implementations with High Throughput, Low-Latency and Low-Area for Matrix Inversion
An End-to-End Solution to Autonomous Driving Based on Xilinx FPGA
A Resource Consumption and Performance Overhead Optimized Reduction Circuit on FPGAs
Quantisation-aware Dimensionality Reduction
Autonomous Vehicle Driving Using the Stream-Based Real-Time Hardware Line Detector
Teaching Influence for Perceived Usefulness of Interactive Whiteboard - Based on the Perspective of College Students
Implementation of E-portfolio Assessment in Hong Kong: Preliminary Findings
Effects of Binaural Audio on English Vocabulary Learning
A Conceptual Framework of the Use of Mobile Augmented Reality in Peer Assessment
Visualization for Analyzing Learning Logs in the Seamless Learning Environment
Leveraging Context for Computer-Supported Student-generated Questions and EFL Learning in Grammar Instruction: Its Effects on Task Performance
Network-Based Language Teaching Today: Multimodality, Multi-Dimensionality and Interaction
Orchestrating Talk for Meaning Making in a Science Learning Community Mediated by CSCL
Analyzing Sentiments of ChatGPT Users: Philippine Setting
Dialog Strategy in a FonF-Based Language Education System: Relative Necessity of a Form in a Task
Pandemic 2020 and Education: Responding from Kiribati
Digital Multi-Grade One-room Schoolhouses for underprivileged communities in rural Pakistan
Interaction Design Based on Augmented Reality Technologies for English Vocabulary Learning
Exploring the Relationships between Students' Engagement and Academic Performance in the Digital Textbook System
Elementary School Students' View to The Educational Game for Children's Awareness of Disaster
An Artificial Intelligence Approach toIdentifying Skill Relationship
The Design and Development of Digital Learning Environment to Enhance Students' Problem Solving
Analyzing ICT literacy of German Teachers: Focusing age and gender issues as well as identifying knowledge levels
Assessing computer attitudes: Does it matterfor teacher education in developing countries?
Affective role of video content in recycle learning
Importance of Interactivity and Customization in Online Learning
Analysis of Basic Characteristics of Presented Instructional Materials and Study of Factors of Comprehension
Mapping Students Use of Technologies in Problem Based Learning Environments
An Implementation of a Remote Blackboard Presenter System for Remote Lessons in Conventional Blackboard Based Style with Rich Media Environment
Reflection Support System with Audience Robots for Presentation Practice
The Exploration of Online Engagement Data in LMS as Predictors to E-Learning Outcomes
Who Will Pass? Analyzing Learner Behaviors in MOOCs
Forest/CR: Critical Paper Reading Support System
Error Tolerance in Automatic Short Answer Grading with Large Language Models: The Case of Handwriting Recognition Errors
Error-based Simulation in Dynamics and Its Evaluation in Junior High School
Exploring the Relationship between Language Learning Strategy Usage and Anxiety among Chinese University Students
Exploring the Online Medical Knowledge Building in a University General Education Course
Cognitive Investigation of Dynamic Educational Presentation toward Better Utilization of Presentation Characteristics
Learning Style Verification with use of Questionnaire and Page Flip History
Development of an AR App to Improve Healthcare Students' Classroom Experience
Design of Tennis Training with Shot-timing Feedback based on Trajectory Prediction of Ball
Scaffolding Scientific Conceptualization: Multiple Representation and Multilevel Visualization Using an Iconic Modeling Tool
Through the online platform with expert and peer review task to improve EFL student writing
Pre-service teachers' learning and frustrations during the development of serious educational games (SEGs) for learning biology
Incorporating Anchored Learning in a C# Intelligent Tutoring System