node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
39,978 | 26 | Title: Social Honeypot for Humans: Luring People through Self-managed Instagram Pages
Abstract: Social Honeypots are tools deployed in Online Social Networks (OSN) to attract malevolent activities performed by spammers and bots. To this end, their content is designed to be of maximum interest to malicious users. Howeve... | [
14725,
23478
] | Test |
39,979 | 2 | Title: A variation of Reynolds-Hurkens Paradox
Abstract: We present a variation of Hurkens paradox, which can itself be seen as a variation of Reynolds result that there is no set theoretic model of polymorphism. | [] | Test |
39,980 | 16 | Title: IFSeg: Image-free Semantic Segmentation via Vision-Language Model
Abstract: Vision-language (VL) pre-training has recently gained much attention for its transferability and flexibility in novel concepts (e.g., cross-modality transfer) across various visual tasks. However, VL-driven segmentation has been under-ex... | [
5807
] | Train |
39,981 | 6 | Title: Investigating Psychological Ownership in a Shared AR Space: Effects of Human and Object Reality and Object Controllability
Abstract: Augmented reality (AR) provides users with a unique social space where virtual objects are natural parts of the real world. The users can interact with 3D virtual objects and virtu... | [] | Validation |
39,982 | 6 | Title: Hey Dona! Can you help me with student course registration?
Abstract: In this paper, we present a demo of an intelligent personal agent called Hey Dona (or just Dona) with virtual voice assistance in student course registration. It is a deployed project in the theme of AI for education. In this digital age with ... | [] | Validation |
39,983 | 25 | Title: Temporal Convolution Network-based Onset Detection and Query by Humming System Design
Abstract: The onset is a key factor to split an audio signal into several notes and plays a critical role in music signal processing. In this study, we ensemble multiple temporal convolution network (TCN) based models and utili... | [] | Validation |
39,984 | 10 | Title: Quantifying Consistency and Information Loss for Causal Abstraction Learning
Abstract: Structural causal models provide a formalism to express causal relations between variables of interest. Models and variables can represent a system at different levels of abstraction, whereby relations may be coarsened and ref... | [
19143
] | Validation |
39,985 | 8 | Title: Full Exploitation of Limited Memory in Quantum Entanglement Switching
Abstract: We study the problem of operating a quantum switch with memory constraints. In particular, the switch has to allocate quantum memories to clients to generate link-level entanglements (LLEs), and then use these to serve end-to-end ent... | [
45770
] | Test |
39,986 | 26 | Title: Improving Ego-Cluster for Network Effect Measurement
Abstract: Network effect is common in social network platforms. Many new features in social networks are designed to specifically create network effect to improve user engagement. For example, content creators tend to produce more when their articles and posts... | [] | Train |
39,987 | 3 | Title: Sustainable AI Regulation
Abstract: Current proposals for AI regulation, in the EU and beyond, aim to spur AI that is trustworthy (e.g., AI Act) and accountable (e.g., AI Liability) What is missing, however, is a robust regulatory discourse and roadmap to make AI, and technology more broadly, environmentally sus... | [
453,
13510,
29996,
42586,
10812
] | Train |
39,988 | 24 | Title: A Clustering Algorithm to Organize Satellite Hotspot Data for the Purpose of Tracking Bushfires Remotely
Abstract: This paper proposes a spatiotemporal clustering algorithm and its implementation in the R package spotoroo. This work is motivated by the catastrophic bushfires in Australia throughout the summer of... | [] | Train |
39,989 | 24 | Title: Domain Generalization via Nuclear Norm Regularization
Abstract: The ability to generalize to unseen domains is crucial for machine learning systems deployed in the real world, especially when we only have data from limited training domains. In this paper, we propose a simple and effective regularization method b... | [
3288
] | Validation |
39,990 | 30 | Title: Extracting Text Representations for Terms and Phrases in Technical Domains
Abstract: Extracting dense representations for terms and phrases is a task of great importance for knowledge discovery platforms targeting highly-technical fields. Dense representations are used as features for downstream components and h... | [] | Train |
39,991 | 27 | Title: Coarse-to-Fine Hybrid 3D Mapping System With Co-Calibrated Omnidirectional Camera and Non-Repetitive LiDAR
Abstract: This letter presents a novel 3D mapping robot with an omnidirectional field-of-view (FoV) sensor suite composed of a non-repetitive LiDAR and an omnidirectional camera. Thanks to the non-repetitiv... | [
33483
] | Train |
39,992 | 30 | Title: When and What to Ask Through World States and Text Instructions: IGLU NLP Challenge Solution
Abstract: In collaborative tasks, effective communication is crucial for achieving joint goals. One such task is collaborative building where builders must communicate with each other to construct desired structures in a... | [
40835,
36356,
1007,
45235,
37463,
1656
] | Train |
39,993 | 16 | Title: SUPS: A Simulated Underground Parking Scenario Dataset for Autonomous Driving
Abstract: Automatic underground parking has attracted considerable attention as the scope of autonomous driving expands. The auto-vehicle is supposed to obtain the environmental information, track its location, and build a reliable map... | [
18544
] | Train |
39,994 | 26 | Title: Complex Network Effects on the Robustness of Graph Convolutional Networks
Abstract: Vertex classification -- the problem of identifying the class labels of nodes in a graph -- has applicability in a wide variety of domains. Examples include classifying subject areas of papers in citation networks or roles of mac... | [
42141
] | Train |
39,995 | 24 | Title: Noisy Positive-Unlabeled Learning with Self-Training for Speculative Knowledge Graph Reasoning
Abstract: This paper studies speculative reasoning task on real-world knowledge graphs (KG) that contain both \textit{false negative issue} (i.e., potential true facts being excluded) and \textit{false positive issue} ... | [
27548
] | Train |
39,996 | 16 | Title: Higher Order Gauge Equivariant CNNs on Riemannian Manifolds and Applications
Abstract: With the advent of group equivariant convolutions in deep networks literature, spherical CNNs with $\mathsf{SO}(3)$-equivariant layers have been developed to cope with data that are samples of signals on the sphere $S^2$. One ... | [] | Train |
39,997 | 30 | Title: MultiSChuBERT: Effective Multimodal Fusion for Scholarly Document Quality Prediction
Abstract: Automatic assessment of the quality of scholarly documents is a difficult task with high potential impact. Multimodality, in particular the addition of visual information next to text, has been shown to improve the per... | [] | Train |
39,998 | 34 | Title: Planar and Minor-Free Metrics Embed into Metrics of Polylogarithmic Treewidth with Expected Multiplicative Distortion Arbitrarily Close to 1
Abstract: We prove that there is a randomized polynomial-time algorithm that given an edge-weighted graph $G$ excluding a fixed-minor $Q$ on $n$ vertices and an accuracy pa... | [
7023
] | Train |
39,999 | 18 | Title: Microfluidic Molecular Communication Transmitter Based on Hydrodynamic Gating
Abstract: Molecular Communications (MC) is a bio-inspired paradigm for transmitting information using chemical signals, which can enable novel applications at the junction of biotechnology, nanotechnology, and information and communica... | [
24314,
44035,
7036
] | Train |
40,000 | 3 | Title: You Are How You Walk: Quantifying Privacy Risks in Step Count Data
Abstract: Wearable devices have gained huge popularity in today's world. These devices collect large-scale health data from their users, such as heart rate and step count data, that is privacy sensitive, however it has not yet received the necess... | [] | Train |
40,001 | 24 | Title: Policy-Induced Self-Supervision Improves Representation Finetuning in Visual RL
Abstract: We study how to transfer representations pretrained on source tasks to target tasks in visual percept based RL. We analyze two popular approaches: freezing or finetuning the pretrained representations. Empirical studies on ... | [] | Train |
40,002 | 24 | Title: Bandits with Deterministically Evolving States
Abstract: We propose a model for learning with bandit feedback while accounting for deterministically evolving and unobservable states that we call Bandits with Deterministically Evolving States. The workhorse applications of our model are learning for recommendatio... | [] | Validation |
40,003 | 16 | Title: Group-Conditional Conformal Prediction via Quantile Regression Calibration for Crop and Weed Classification
Abstract: As deep learning predictive models become an integral part of a large spectrum of precision agricultural systems, a barrier to the adoption of such automated solutions is the lack of user trust i... | [] | Test |
40,004 | 16 | Title: Uncertainty-Encoded Multi-Modal Fusion for Robust Object Detection in Autonomous Driving
Abstract: Multi-modal fusion has shown initial promising results for object detection of autonomous driving perception. However, many existing fusion schemes do not consider the quality of each fusion input and may suffer fr... | [] | Test |
40,005 | 24 | Title: Dynamic Feature-based Deep Reinforcement Learning for Flow Control of Circular Cylinder with Sparse Surface Pressure Sensing
Abstract: This study proposes a self-learning algorithm for closed-loop cylinder wake control targeting lower drag and lower lift fluctuations with the additional challenge of sparse senso... | [] | Train |
40,006 | 30 | Title: PersonaLLM: Investigating the Ability of GPT-3.5 to Express Personality Traits and Gender Differences
Abstract: Despite the many use cases for large language models (LLMs) in the design of chatbots in various industries and the research showing the importance of personalizing chatbots to cater to different perso... | [
37870,
10900,
17668,
31238
] | Train |
40,007 | 24 | Title: Direct Parameterization of Lipschitz-Bounded Deep Networks
Abstract: This paper introduces a new parameterization of deep neural networks (both fully-connected and convolutional) with guaranteed $\ell^2$ Lipschitz bounds, i.e. limited sensitivity to input perturbations. The Lipschitz guarantees are equivalent to... | [
22179,
7433,
29870,
42932,
38714
] | Validation |
40,008 | 30 | Title: Pseudo Outlier Exposure for Out-of-Distribution Detection using Pretrained Transformers
Abstract: For real-world language applications, detecting an out-of-distribution (OOD) sample is helpful to alert users or reject such unreliable samples. However, modern over-parameterized language models often produce overc... | [] | Train |
40,009 | 27 | Title: Optimizing the extended Fourier Mellin Transformation Algorithm
Abstract: With the increasing application of robots, stable and efficient Visual Odometry (VO) algorithms are becoming more and more important. Based on the Fourier Mellin Transformation (FMT) algorithm, the extended Fourier Mellin Transformation (e... | [
40932
] | Train |
40,010 | 30 | Title: Tree of Uncertain Thoughts Reasoning for Large Language Models
Abstract: While the recently introduced Tree of Thoughts (ToT) has heralded advancements in allowing Large Language Models (LLMs) to reason through foresight and backtracking for global decision-making, it has overlooked the inherent local uncertaint... | [
40610,
28963,
33220,
44623,
43641
] | Test |
40,011 | 16 | Title: Variation of Gender Biases in Visual Recognition Models Before and After Finetuning
Abstract: We introduce a framework to measure how biases change before and after fine-tuning a large scale visual recognition model for a downstream task. Deep learning models trained on increasing amounts of data are known to en... | [] | Validation |
40,012 | 24 | Title: Target-independent XLA optimization using Reinforcement Learning
Abstract: An important challenge in Machine Learning compilers like XLA is multi-pass optimization and analysis. There has been recent interest chiefly in XLA target-dependent optimization on the graph-level, subgraph-level, and kernel-level phases... | [] | Train |
40,013 | 16 | Title: Using Large Text-to-Image Models with Structured Prompts for Skin Disease Identification: A Case Study
Abstract: This paper investigates the potential usage of large text-to-image (LTI) models for the automated diagnosis of a few skin conditions with rarity or a serious lack of annotated datasets. As the input t... | [] | Train |
40,014 | 8 | Title: Enhancement and Evaluation of MOXcatter
Abstract: Backscatter WiFi provides a novel solution to IoT device's energy consumption. Different from other backscatter WiFi solutions, MOXcatter works with multiple spatial streams, making it appliable in 802.11n and beyond. In this paper, we present a method to solve t... | [] | Test |
40,015 | 24 | Title: Training normalizing flows with computationally intensive target probability distributions
Abstract: Machine learning techniques, in particular the so-called normalizing flows, are becoming increasingly popular in the context of Monte Carlo simulations as they can effectively approximate target probability distr... | [] | Train |
40,016 | 24 | Title: Goal Space Abstraction in Hierarchical Reinforcement Learning via Set-Based Reachability Analysis
Abstract: Open-ended learning benefits immensely from the use of symbolic methods for goal representation as they offer ways to structure knowledge for efficient and transferable learning. However, the existing Hier... | [] | Train |
40,017 | 24 | Title: Intuitionistic Fuzzy Broad Learning System: Enhancing Robustness Against Noise and Outliers
Abstract: In the realm of data classification, broad learning system (BLS) has proven to be a potent tool that utilizes a layer-by-layer feed-forward neural network. It consists of feature learning and enhancement segment... | [] | Train |
40,018 | 9 | Title: SAT Requires Exhaustive Search
Abstract: In this paper, by constructing extremely hard examples of CSP (with large domains) and SAT (with long clauses), we prove that such examples cannot be solved without exhaustive search, which is stronger than P $\neq$ NP. This constructive approach for proving impossibility... | [
28139
] | Train |
40,019 | 24 | Title: Integrating processed-based models and machine learning for crop yield prediction
Abstract: Crop yield prediction typically involves the utilization of either theory-driven process-based crop growth models, which have proven to be difficult to calibrate for local conditions, or data-driven machine learning metho... | [] | Validation |
40,020 | 24 | Title: Generate, Transform, Answer: Question Specific Tool Synthesis for Tabular Data
Abstract: Tabular question answering (TQA) presents a challenging setting for neural systems by requiring joint reasoning of natural language with large amounts of semi-structured data. Unlike humans who use programmatic tools like fi... | [
634,
26091,
28221
] | Train |
40,021 | 3 | Title: BlockTheFall: Wearable Device-based Fall Detection Framework Powered by Machine Learning and Blockchain for Elderly Care
Abstract: Falls among the elderly are a major health concern, frequently resulting in serious injuries and a reduced quality of life. In this paper, we propose "BlockTheFall," a wearable devic... | [
1015
] | Train |
40,022 | 24 | Title: Seeking the Yield Barrier: High-Dimensional SRAM Evaluation Through Optimal Manifold
Abstract: Being able to efficiently obtain an accurate estimate of the failure probability of SRAM components has become a central issue as model circuits shrink their scale to submicrometer with advanced technology nodes. In th... | [] | Train |
40,023 | 17 | Title: Algebraic Smooth Occluding Contours
Abstract: Computing occluding contours is a key step in 3D non-photorealistic rendering, but producing smooth contours with consistent visibility has been a notoriously-challenging open problem. This paper describes the first general-purpose smooth surface construction for whi... | [] | Test |
40,024 | 34 | Title: 0-1 Knapsack in Nearly Quadratic Time
Abstract: We study pseudo-polynomial time algorithms for the fundamental \emph{0-1 Knapsack} problem. Recent research interest has focused on its fine-grained complexity with respect to the number of items $n$ and the \emph{maximum item weight} $w_{\max}$. Under $(\min,+)$-c... | [
34880,
20197,
10441,
14314,
11568,
23227,
23005
] | Test |
40,025 | 24 | Title: CACTUS: a Comprehensive Abstraction and Classification Tool for Uncovering Structures
Abstract: The availability of large data sets is providing an impetus for driving current artificial intelligent developments. There are, however, challenges for developing solutions with small data sets due to practical and co... | [
453
] | Test |
40,026 | 16 | Title: Scene Graph Generation from Hierarchical Relationship Reasoning
Abstract: This paper presents a novel approach for inferring relationships between objects in visual scenes. It explicitly exploits an informative hierarchical structure that can be imposed to divide the object and relationship categories into disjo... | [
35380
] | Validation |
40,027 | 16 | Title: Entity-Level Text-Guided Image Manipulation
Abstract: Existing text-guided image manipulation methods aim to modify the appearance of the image or to edit a few objects in a virtual or simple scenario, which is far from practical applications. In this work, we study a novel task on text-guided image manipulation... | [
28532
] | Train |
40,028 | 10 | Title: AlphaZero Gomoku
Abstract: In the past few years, AlphaZero's exceptional capability in mastering intricate board games has garnered considerable interest. Initially designed for the game of Go, this revolutionary algorithm merges deep learning techniques with the Monte Carlo tree search (MCTS) to surpass earlie... | [
140,
33966
] | Train |
40,029 | 24 | Title: SelfFed: Self-supervised Federated Learning for Data Heterogeneity and Label Scarcity in IoMT
Abstract: Self-supervised learning in federated learning paradigm has been gaining a lot of interest both in industry and research due to the collaborative learning capability on unlabeled yet isolated data. However, se... | [] | Train |
40,030 | 30 | Title: Autocorrelations Decay in Texts and Applicability Limits of Language Models
Abstract: We show that the laws of autocorrelations decay in texts are closely related to applicability limits of language models. Using distributional semantics we empirically demonstrate that autocorrelations of words in texts decay ac... | [
24822
] | Train |
40,031 | 4 | Title: Managing Cyber Risk, a Science in the Making
Abstract: Not a day goes by without news about a cyber attack. Fear spreads out and lots of wrong ideas circulate. This survey aims at showing how all these uncertainties about cyber can be transformed into manageable risk. After reviewing the main characteristics of ... | [] | Train |
40,032 | 6 | Title: User Preferences of Spatio-Temporal Referencing Approaches For Immersive 3D Radar Charts
Abstract: The use of head-mounted display technologies for virtual reality experiences is inherently single-user-centred, allowing for the visual immersion of its user in the computer-generated environment. This isolates the... | [] | Test |
40,033 | 27 | Title: Robot Grasping and Manipulation: A Prospective
Abstract: ``A simple handshake would give them away''. This is how Anthony Hopkins' fictional character, Dr Robert Ford, summarises a particular flaw of the 2016 science-fiction \emph{Westworld}'s hosts. In the storyline, Westworld is a futuristic theme park and the... | [] | Validation |
40,034 | 18 | Title: Multi-channel Medium Access Control Protocols for Wireless Networks within Computing Packages
Abstract: Wireless communications at the chip scale emerge as a interesting complement to traditional wire-based approaches thanks to their low latency, inherent broadcast nature, and capacity to bypass pin constraints.... | [] | Train |
40,035 | 24 | Title: FedCBO: Reaching Group Consensus in Clustered Federated Learning through Consensus-based Optimization
Abstract: Federated learning is an important framework in modern machine learning that seeks to integrate the training of learning models from multiple users, each user having their own local data set, in a way ... | [
36241
] | Train |
40,036 | 3 | Title: CodeHelp: Using Large Language Models with Guardrails for Scalable Support in Programming Classes
Abstract: Computing educators face significant challenges in providing timely support to students, especially in large class settings. Large language models (LLMs) have emerged recently and show great promise for pr... | [
35107,
100,
33477,
36778,
39466,
4976,
593,
3314,
19315,
27185,
46102,
39547,
39164,
32542
] | Train |
40,037 | 28 | Title: Age-Optimal Multi-Channel-Scheduling Under Energy and Tolerance Constraints
Abstract: We study the optimal scheduling problem where $n$ source nodes attempt to transmit updates over $L$ shared wireless on/off fading channels to optimize their age performance under energy and age-violation tolerance constraints. ... | [] | Train |
40,038 | 24 | Title: Complexity of Feed-Forward Neural Networks from the Perspective of Functional Equivalence
Abstract: In this paper, we investigate the complexity of feed-forward neural networks by examining the concept of functional equivalence, which suggests that different network parameterizations can lead to the same functio... | [] | Test |
40,039 | 6 | Title: Toward a Scalable Census of Dashboard Designs in the Wild: A Case Study with Tableau Public
Abstract: Dashboards remain ubiquitous artifacts for presenting or reasoning with data across different domains. Yet, there has been little work that provides a quantifiable, systematic, and descriptive overview of dashbo... | [] | Train |
40,040 | 16 | Title: Video Task Decathlon: Unifying Image and Video Tasks in Autonomous Driving
Abstract: Performing multiple heterogeneous visual tasks in dynamic scenes is a hallmark of human perception capability. Despite remarkable progress in image and video recognition via representation learning, current research still focuse... | [
23717
] | Test |
40,041 | 24 | Title: Towards Trustworthy Explanation: On Causal Rationalization
Abstract: With recent advances in natural language processing, rationalization becomes an essential self-explaining diagram to disentangle the black box by selecting a subset of input texts to account for the major variation in prediction. Yet, existing ... | [
10533
] | Validation |
40,042 | 10 | Title: Data Association Aware POMDP Planning With Hypothesis Pruning Performance Guarantees
Abstract: Autonomous agents that operate in the real world must often deal with partial observability, which is commonly modeled as partially observable Markov decision processes (POMDPs). However, traditional POMDP models rely ... | [
12560
] | Validation |
40,043 | 24 | Title: Filling out the missing gaps: Time Series Imputation with Semi-Supervised Learning
Abstract: Missing data in time series is a challenging issue affecting time series analysis. Missing data occurs due to problems like data drops or sensor malfunctioning. Imputation methods are used to fill in these values, with q... | [] | Train |
40,044 | 15 | Title: RV-CURE: A RISC-V Capability Architecture for Full Memory Safety
Abstract: Despite decades of efforts to resolve, memory safety violations are still persistent and problematic in modern systems. Various defense mechanisms have been proposed, but their deployment in real systems remains challenging because of per... | [
34174
] | Train |
40,045 | 6 | Title: The Effect of Information Type on Human Cognitive Augmentation
Abstract: When performing a task alone, humans achieve a certain level of performance. When humans are assisted by a tool or automation to perform the same task, performance is enhanced (augmented). Recently developed cognitive systems are able to pe... | [
12566
] | Train |
40,046 | 13 | Title: Detecting Information Relays in Deep Neural Networks
Abstract: Deep learning of artificial neural networks (ANNs) is creating highly functional processes that are, unfortunately, nearly as hard to interpret as their biological counterparts. Identification of functional modules in natural brains plays an importan... | [] | Test |
40,047 | 26 | Title: Temporal network analysis: Introduction, methods and detailed tutorial with R
Abstract: Learning involves relations, interactions and connections between learners, teachers and the world at large. Such interactions are essentially temporal and unfold in time. Yet, researchers have rarely combined the two aspects... | [] | Train |
40,048 | 5 | Title: Optimization and Portability of a Fusion OpenACC-based FORTRAN HPC Code from NVIDIA to AMD GPUs
Abstract: NVIDIA has been the main provider of GPU hardware in HPC systems for over a decade. Most applications that benefit from GPUs have thus been developed and optimized for the NVIDIA software stack. Recent exasc... | [] | Train |
40,049 | 10 | Title: Companion Animal Disease Diagnostics based on Literal-aware Medical Knowledge Graph Representation Learning
Abstract: Knowledge graph (KG) embedding has been used to benefit the diagnosis of animal diseases by analyzing electronic medical records (EMRs), such as notes and veterinary records. However, learning re... | [
8169,
36595
] | Train |
40,050 | 27 | Title: Mobile robots sampling algorithms for monitoring of insects populations in agricultural fields
Abstract: Plant diseases are major causes of production losses and may have a significant impact on the agricultural sector. Detecting pests as early as possible can help increase crop yields and production efficiency.... | [] | Train |
40,051 | 39 | Title: New Optimal Results on Codes for Location in Graphs
Abstract: In this paper, we broaden the understanding of the recently introduced concepts of solid-locating-dominating and self-locating-dominating codes in various graphs. In particular, we present the optimal, i.e., smallest possible, codes in the infinite tr... | [] | Test |
40,052 | 27 | Title: The Treachery of Images: Bayesian Scene Keypoints for Deep Policy Learning in Robotic Manipulation
Abstract: In policy learning for robotic manipulation, sample efficiency is of paramount importance. Thus, learning and extracting more compact representations from camera observations is a promising avenue. Howeve... | [
8983
] | Train |
40,053 | 28 | Title: Golden Modulation: a New and Effective Waveform for Massive IoT
Abstract: This paper considers massive Internet of Things systems, especially for LoW Power Wide Area Networks, that aim at connecting billions of low-cost devices with multi-year battery life requirements. Current systems for massive Internet of Th... | [] | Train |
40,054 | 16 | Title: MBPTrack: Improving 3D Point Cloud Tracking with Memory Networks and Box Priors
Abstract: 3D single object tracking has been a crucial problem for decades with numerous applications such as autonomous driving. Despite its wide-ranging use, this task remains challenging due to the significant appearance variation... | [] | Train |
40,055 | 10 | Title: Will ChatGPT get you caught? Rethinking of Plagiarism Detection
Abstract: The rise of Artificial Intelligence (AI) technology and its impact on education has been a topic of growing concern in recent years. The new generation AI systems such as chatbots have become more accessible on the Internet and stronger in... | [
19968,
39170,
11273,
6410,
37395,
8472,
9886,
27679,
24994,
13224,
25389,
6191,
3250,
37563,
38849,
11476,
20185,
7648,
37225,
1899,
45680,
10749,
36991
] | Validation |
40,056 | 30 | Title: Developing Speech Processing Pipelines for Police Accountability
Abstract: Police body-worn cameras have the potential to improve accountability and transparency in policing. Yet in practice, they result in millions of hours of footage that is never reviewed. We investigate the potential of large pre-trained spe... | [] | Train |
40,057 | 24 | Title: Minimal Learning Machine for Multi-Label Learning
Abstract: Distance-based supervised method, the minimal learning machine, constructs a predictive model from data by learning a mapping between input and output distance matrices. In this paper, we propose methods and evaluate how this technique and its core comp... | [] | Train |
40,058 | 15 | Title: OpenSpike: An OpenRAM SNN Accelerator
Abstract: This paper presents a spiking neural network (SNN) accelerator made using fully open-source EDA tools, process design kit (PDK), and memory macros synthesized using Open-RAM. The chip is taped out in the 130 nm SkyWater process and integrates over 1 million synapti... | [
5960
] | Train |
40,059 | 31 | Title: Mixer: Image to Multi-Modal Retrieval Learning for Industrial Application
Abstract: Cross-modal retrieval, where the query is an image and the doc is an item with both image and text description, is ubiquitous in e-commerce platforms and content-sharing social media. However, little research attention has been p... | [] | Test |
40,060 | 24 | Title: Virtual Guidance as a Mid-level Representation for Navigation
Abstract: In the context of autonomous navigation, effectively conveying abstract navigational cues to agents in dynamic environments poses challenges, particularly when the navigation information is multimodal. To address this issue, the paper introd... | [] | Test |
40,061 | 16 | Title: Surgical-VQLA:Transformer with Gated Vision-Language Embedding for Visual Question Localized-Answering in Robotic Surgery
Abstract: Despite the availability of computer-aided simulators and recorded videos of surgical procedures, junior residents still heavily rely on experts to answer their queries. However, ex... | [
29785,
24429,
10319
] | Test |
40,062 | 16 | Title: Reference-Free Isotropic 3D EM Reconstruction using Diffusion Models
Abstract: Electron microscopy (EM) images exhibit anisotropic axial resolution due to the characteristics inherent to the imaging modality, presenting challenges in analysis and downstream tasks.In this paper, we propose a diffusion-model-based... | [] | Validation |
40,063 | 6 | Title: Modeling the Trade-off of Privacy Preservation and Activity Recognition on Low-Resolution Images
Abstract: A computer vision system using low-resolution image sensors can provide intelligent services (e.g., activity recognition) but preserve unnecessary visual privacy information from the hardware level. However... | [] | Train |
40,064 | 16 | Title: Fake It Without Making It: Conditioned Face Generation for Accurate 3D Face Shape Estimation
Abstract: Accurate 3D face shape estimation is an enabling technology with applications in healthcare, security, and creative industries, yet current state-of-the-art methods either rely on self-supervised training with ... | [
34074,
23468
] | Train |
40,065 | 30 | Title: Explaining Speech Classification Models via Word-Level Audio Segments and Paralinguistic Features
Abstract: Recent advances in eXplainable AI (XAI) have provided new insights into how models for vision, language, and tabular data operate. However, few approaches exist for understanding speech models. Existing wo... | [
164,
45957,
37445,
14571,
38574
] | Train |
40,066 | 24 | Title: Red Teaming Deep Neural Networks with Feature Synthesis Tools
Abstract: Interpretable AI tools are often motivated by the goal of understanding model behavior in out-of-distribution (OOD) contexts. Despite the attention this area of study receives, there are comparatively few cases where these tools have identif... | [
32232,
11633,
29627
] | Train |
40,067 | 16 | Title: EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecasting
Abstract: Capturing high-dimensional social interactions and feasible futures is essential for predicting trajectories. To address this complex nature, several attempts have been devoted to reducing the dimensionality of the output vari... | [
17189
] | Test |
40,068 | 30 | Title: Effortless Integration of Memory Management into Open-Domain Conversation Systems
Abstract: Open-domain conversation systems integrate multiple conversation skills into a single system through a modular approach. One of the limitations of the system, however, is the absence of management capability for external ... | [
5603
] | Test |
40,069 | 28 | Title: ADMM-based Detector for Large-scale MIMO Code-domain NOMA Systems
Abstract: Large-scale multi-input multi-output (MIMO) code domain non-orthogonal multiple access (CD-NOMA) techniques are one of the potential candidates to address the next-generation wireless needs such as massive connectivity, and high reliabil... | [] | Train |
40,070 | 30 | Title: Improving Cancer Hallmark Classification with BERT-based Deep Learning Approach
Abstract: This paper presents a novel approach to accurately classify the hallmarks of cancer, which is a crucial task in cancer research. Our proposed method utilizes the Bidirectional Encoder Representations from Transformers (BERT... | [] | Train |
40,071 | 30 | Title: Adversarial Robustness of Prompt-based Few-Shot Learning for Natural Language Understanding
Abstract: State-of-the-art few-shot learning (FSL) methods leverage prompt-based fine-tuning to obtain remarkable results for natural language understanding (NLU) tasks. While much of the prior FSL methods focus on improv... | [
24948
] | Test |
40,072 | 33 | Title: On the Comparison of Discounted-Sum Automata with Multiple Discount Factors
Abstract: nan | [] | Train |
40,073 | 37 | Title: ChainedFilter: Combining Membership Filters by Chain Rule
Abstract: Membership (membership query / membership testing) is a fundamental problem across databases, networks and security. However, previous research has primarily focused on either approximate solutions, such as Bloom Filters, or exact methods, like ... | [] | Validation |
40,074 | 23 | Title: Challenges and Practices of Deep Learning Model Reengineering: A Case Study on Computer Vision
Abstract: Many engineering organizations are reimplementing and extending deep neural networks from the research community. We describe this process as deep learning model reengineering. Deep learning model reengineeri... | [
17633,
13700,
25000,
25738,
38576,
43641,
28274,
27705,
42523,
39133
] | Train |
40,075 | 11 | Title: Graph neural networks for decentralized multi-agent perimeter defense
Abstract: In this work, we study the problem of decentralized multi-agent perimeter defense that asks for computing actions for defenders with local perceptions and communications to maximize the capture of intruders. One major challenge for p... | [
24498
] | Validation |
40,076 | 16 | Title: An Out-of-Domain Synapse Detection Challenge for Microwasp Brain Connectomes
Abstract: The size of image stacks in connectomics studies now reaches the terabyte and often petabyte scales with a great diversity of appearance across brain regions and samples. However, manual annotation of neural structures, e.g., ... | [
26303
] | Validation |
40,077 | 5 | Title: Computing Redundancy in Blocking Systems: Fast Service or No Service
Abstract: Redundancy in distributed computing systems reduces job completion time. It is widely employed in practice and studied in theory for queuing systems, often in a low-traffic regime where queues remain empty. Motivated by emerging edge ... | [] | Train |
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