node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
25,378 | 30 | Title: Language Cognition and Language Computation - Human and Machine Language Understanding
Abstract: Language understanding is a key scientific issue in the fields of cognitive and computer science. However, the two disciplines differ substantially in the specific research questions. Cognitive science focuses on ana... | [] | Validation |
25,379 | 27 | Title: RICO-MR: An Open-Source Architecture for Robot Intent Communication through Mixed Reality
Abstract: This article presents an open-source architecture for conveying robots' intentions to human teammates using Mixed Reality and Head-Mounted Displays. The architecture has been developed focusing on its modularity a... | [] | Validation |
25,380 | 16 | Title: Invariant Training 2D-3D Joint Hard Samples for Few-Shot Point Cloud Recognition
Abstract: We tackle the data scarcity challenge in few-shot point cloud recognition of 3D objects by using a joint prediction from a conventional 3D model and a well-trained 2D model. Surprisingly, such an ensemble, though seems tri... | [
9217,
19630
] | Train |
25,381 | 34 | Title: Data Summarization beyond Monotonicity: Non-monotone Two-Stage Submodular Maximization
Abstract: The objective of a two-stage submodular maximization problem is to reduce the ground set using provided training functions that are submodular, with the aim of ensuring that optimizing new objective functions over th... | [] | Test |
25,382 | 24 | Title: Exploring the Connection between Robust and Generative Models
Abstract: We offer a study that connects robust discriminative classifiers trained with adversarial training (AT) with generative modeling in the form of Energy-based Models (EBM). We do so by decomposing the loss of a discriminative classifier and sh... | [] | Train |
25,383 | 16 | Title: WaveNeRF: Wavelet-based Generalizable Neural Radiance Fields
Abstract: Neural Radiance Field (NeRF) has shown impressive performance in novel view synthesis via implicit scene representation. However, it usually suffers from poor scalability as requiring densely sampled images for each new scene. Several studies... | [
6602,
17700,
35986
] | Train |
25,384 | 16 | Title: RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks
Abstract: Spiking Neural Networks (SNNs) as one of the biology-inspired models have received much attention recently. It can significantly reduce energy consumption since they quantize the real-valued membrane potentials to 0/1 sp... | [
22629,
18342,
45868,
27662,
39312,
14833,
34896,
37372
] | Validation |
25,385 | 24 | Title: Hardware-aware training for large-scale and diverse deep learning inference workloads using in-memory computing-based accelerators
Abstract: nan | [
30977,
26986,
37643,
30924
] | Train |
25,386 | 16 | Title: Anomaly Detection under Distribution Shift
Abstract: Anomaly detection (AD) is a crucial machine learning task that aims to learn patterns from a set of normal training samples to identify abnormal samples in test data. Most existing AD studies assume that the training and test data are drawn from the same data ... | [] | Train |
25,387 | 24 | Title: FedFA: Federated Feature Augmentation
Abstract: Federated learning is a distributed paradigm that allows multiple parties to collaboratively train deep models without exchanging the raw data. However, the data distribution among clients is naturally non-i.i.d., which leads to severe degradation of the learnt mod... | [
25864,
32353,
40982
] | Validation |
25,388 | 16 | Title: Blendshapes GHUM: Real-time Monocular Facial Blendshape Prediction
Abstract: We present Blendshapes GHUM, an on-device ML pipeline that predicts 52 facial blendshape coefficients at 30+ FPS on modern mobile phones, from a single monocular RGB image and enables facial motion capture applications like virtual avat... | [] | Train |
25,389 | 30 | Title: Check Me If You Can: Detecting ChatGPT-Generated Academic Writing using CheckGPT
Abstract: With ChatGPT under the spotlight, utilizing large language models (LLMs) for academic writing has drawn a significant amount of discussions and concerns in the community. While substantial research efforts have been stimul... | [
41122,
9508,
25765,
8200,
14410,
8715,
43566,
7796,
6836,
14742,
40055,
39322,
38235,
43930
] | Test |
25,390 | 18 | Title: Schottky Barrier MOSFET Enabled Ultra-Low Power Real-Time Neuron for Neuromorphic Computing
Abstract: Energy-efficient real-time synapses and neurons are essential to enable large-scale neuromorphic computing. In this paper, we propose and demonstrate the Schottky-Barrier MOSFET-based ultra-low power voltage-con... | [] | Train |
25,391 | 31 | Title: When Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback?
Abstract: In recent years, neural models have been repeatedly touted to exhibit state-of-the-art performance in recommendation. Nevertheless, multiple recent studies have revealed that the reported state-of-the-art... | [
33317,
1815
] | Validation |
25,392 | 24 | Title: Improving Classification Neural Networks by using Absolute activation function (MNIST/LeNET-5 example)
Abstract: The paper discusses the use of the Absolute activation function in classification neural networks. An examples are shown of using this activation function in simple and more complex problems. Using as... | [] | Test |
25,393 | 24 | Title: Task Adaptive Feature Transformation for One-Shot Learning
Abstract: We introduce a simple non-linear embedding adaptation layer, which is fine-tuned on top of fixed pre-trained features for one-shot tasks, improving significantly transductive entropy-based inference for low-shot regimes. Our norm-induced transf... | [] | Test |
25,394 | 10 | Title: The Notion of Role in Conceptual Modeling
Abstract: nan | [] | Train |
25,395 | 24 | Title: On the Risks of Stealing the Decoding Algorithms of Language Models
Abstract: A key component of generating text from modern language models (LM) is the selection and tuning of decoding algorithms. These algorithms determine how to generate text from the internal probability distribution generated by the LM. The... | [
39079
] | Train |
25,396 | 27 | Title: Safe Navigation and Obstacle Avoidance Using Differentiable Optimization Based Control Barrier Functions
Abstract: Control barrier functions (CBFs) have been widely applied to safety-critical robotic applications. However, the construction of control barrier functions for robotic systems remains a challenging ta... | [] | Test |
25,397 | 31 | Title: Adapting Learned Sparse Retrieval for Long Documents
Abstract: Learned sparse retrieval (LSR) is a family of neural retrieval methods that transform queries and documents into sparse weight vectors aligned with a vocabulary. While LSR approaches like Splade work well for short passages, it is unclear how well th... | [
22379,
206
] | Test |
25,398 | 24 | Title: Toward Large Kernel Models
Abstract: Recent studies indicate that kernel machines can often perform similarly or better than deep neural networks (DNNs) on small datasets. The interest in kernel machines has been additionally bolstered by the discovery of their equivalence to wide neural networks in certain regi... | [] | Train |
25,399 | 24 | Title: Representation Reliability and Its Impact on Downstream Tasks
Abstract: Self-supervised pre-trained models extract general-purpose representations from data, and quantifying how reliable they are is crucial because many downstream models use these representations as input for their own tasks. To this end, we fir... | [] | Train |
25,400 | 16 | Title: Efficient Large-Scale Visual Representation Learning And Evaluation
Abstract: Efficiently learning visual representations of items is vital for large-scale recommendations. In this article we compare several pretrained efficient backbone architectures, both in the convolutional neural network (CNN) and in the vi... | [
20514,
36485,
32997,
35242,
45994,
15918,
32343,
16284
] | Test |
25,401 | 16 | Title: Unveiling the Potential of Spike Streams for Foreground Occlusion Removal from Densely Continuous Views
Abstract: The extraction of a clean background image by removing foreground occlusion holds immense practical significance, but it also presents several challenges. Presently, the majority of de-occlusion rese... | [
12322
] | Validation |
25,402 | 34 | Title: Moments, Random Walks, and Limits for Spectrum Approximation
Abstract: We study lower bounds for the problem of approximating a one dimensional distribution given (noisy) measurements of its moments. We show that there are distributions on $[-1,1]$ that cannot be approximated to accuracy $\epsilon$ in Wasserstei... | [] | Train |
25,403 | 4 | Title: Secure and Efficient Federated Learning in LEO Constellations using Decentralized Key Generation and On-Orbit Model Aggregation
Abstract: Satellite technologies have advanced drastically in recent years, leading to a heated interest in launching small satellites into low Earth orbit (LEOs) to collect massive dat... | [
12520,
39499
] | Train |
25,404 | 24 | Title: Moderately Distributional Exploration for Domain Generalization
Abstract: Domain generalization (DG) aims to tackle the distribution shift between training domains and unknown target domains. Generating new domains is one of the most effective approaches, yet its performance gain depends on the distribution disc... | [
35458
] | Validation |
25,405 | 16 | Title: Modality-invariant Visual Odometry for Embodied Vision
Abstract: Effectively localizing an agent in a realistic, noisy setting is crucial for many embodied vision tasks. Visual Odometry (VO) is a practical substitute for unreliable GPS and compass sensors, especially in indoor environments. While SLAM-based meth... | [] | Train |
25,406 | 23 | Title: Emotions in Requirements Engineering: A Systematic Mapping Study
Abstract: The purpose of requirements engineering (RE) is to make sure that the expectations and needs of the stakeholders of a software system are met. Emotional needs can be captured as emotional requirements that represent how the end user shoul... | [] | Train |
25,407 | 27 | Title: Proprioception and Tail Control Enable Extreme Terrain Traversal by Quadruped Robots
Abstract: Legged robots leverage ground contacts and the reaction forces they provide to achieve agile locomotion. However, uncertainty coupled with contact discontinuities can lead to failure, especially in real-world environme... | [
30102
] | Validation |
25,408 | 30 | Title: Entity-Level Sentiment Analysis (ELSA): An Exploratory Task Survey
Abstract: This paper explores the task of identifying the overall sentiment expressed towards volitional entities (persons and organizations) in a document - what we refer to as Entity-Level Sentiment Analysis (ELSA). While identifying sentiment ... | [] | Train |
25,409 | 30 | Title: On the Depth between Beam Search and Exhaustive Search for Text Generation
Abstract: Beam search and exhaustive search are two extreme ends of text decoding algorithms with respect to the search depth. Beam search is limited in both search width and depth, whereas exhaustive search is a global search that has no... | [
17976,
1789
] | Test |
25,410 | 16 | Title: DENTEX: An Abnormal Tooth Detection with Dental Enumeration and Diagnosis Benchmark for Panoramic X-rays
Abstract: Panoramic X-rays are frequently used in dentistry for treatment planning, but their interpretation can be both time-consuming and prone to error. Artificial intelligence (AI) has the potential to ai... | [
25841,
38899,
6687
] | Train |
25,411 | 24 | Title: Ensemble Mask Networks
Abstract: Can an $\mathbb{R}^n\rightarrow \mathbb{R}^n$ feedforward network learn matrix-vector multiplication? This study introduces two mechanisms - flexible masking to take matrix inputs, and a unique network pruning to respect the mask's dependency structure. Networks can approximate f... | [] | Test |
25,412 | 30 | Title: “When Words Fail, Emojis Prevail”: A Novel Architecture for Generating Sarcastic Sentences With Emoji Using Valence Reversal and Semantic Incongruity
Abstract: A new framework in which when given a non-sarcastic text as input, the text is converted into a sarcastic one with emoji where the emoji will specificall... | [] | Train |
25,413 | 24 | Title: Learning Personalized Brain Functional Connectivity of MDD Patients from Multiple Sites via Federated Bayesian Networks
Abstract: Identifying functional connectivity biomarkers of major depressive disorder (MDD) patients is essential to advance understanding of the disorder mechanisms and early intervention. How... | [] | Train |
25,414 | 16 | Title: SplineCam: Exact Visualization and Characterization of Deep Network Geometry and Decision Boundaries
Abstract: Current Deep Network (DN) visualization and inter-pretability methods rely heavily on data space visualizations such as scoring which dimensions of the data are responsible for their associated predicti... | [
19065
] | Train |
25,415 | 24 | Title: Provably Convergent Policy Optimization via Metric-aware Trust Region Methods
Abstract: Trust-region methods based on Kullback-Leibler divergence are pervasively used to stabilize policy optimization in reinforcement learning. In this paper, we exploit more flexible metrics and examine two natural extensions of ... | [] | Train |
25,416 | 22 | Title: Designing text representations for existing data using the TextFormats Specification Language
Abstract: TextFormats is a software system for efficient and user-friendly creation of text format specifications, accessible from multiple programming languages (C/C++, Python, Nim) and the Unix command line. To work w... | [] | Validation |
25,417 | 16 | Title: Dataset Quantization
Abstract: State-of-the-art deep neural networks are trained with large amounts (millions or even billions) of data. The expensive computation and memory costs make it difficult to train them on limited hardware resources, especially for recent popular large language models (LLM) and computer... | [
18307,
13700,
1867,
1167,
2197,
46101,
6328,
17406
] | Train |
25,418 | 28 | Title: Uplink Performance of Cell-Free Extremely Large-Scale MIMO Systems
Abstract: In this paper, we investigate the uplink performance of cell-free (CF) extremely large-scale multiple-input-multipleoutput (XL-MIMO) systems, which is a promising technique for future wireless communications. More specifically, we consi... | [] | Validation |
25,419 | 24 | Title: Going Deeper with Five-point Stencil Convolutions for Reaction-Diffusion Equations
Abstract: Physics-informed neural networks have been widely applied to partial differential equations with great success because the physics-informed loss essentially requires no observations or discretization. However, it is diff... | [] | Train |
25,420 | 28 | Title: Spherical and Hyperbolic Toric Topology-Based Codes On Graph Embedding for Ising MRF Models: Classical and Quantum Topology Machine Learning
Abstract: The paper introduces the application of information geometry to describe the ground states of Ising models by utilizing parity-check matrices of cyclic and quasi-... | [] | Train |
25,421 | 16 | Title: Pengembangan Model untuk Mendeteksi Kerusakan pada Terumbu Karang dengan Klasifikasi Citra
Abstract: The abundant biodiversity of coral reefs in Indonesian waters is a valuable asset that needs to be preserved. Rapid climate change and uncontrolled human activities have led to the degradation of coral reef ecosy... | [] | Train |
25,422 | 3 | Title: In-class Data Analysis Replications: Teaching Students while Testing Science
Abstract: Science is facing a reproducibility crisis. Previous work has proposed incorporating data analysis replications into classrooms as a potential solution. However, despite the potential benefits, it is unclear whether this appro... | [] | Train |
25,423 | 24 | Title: DiffSmooth: Certifiably Robust Learning via Diffusion Models and Local Smoothing
Abstract: Diffusion models have been leveraged to perform adversarial purification and thus provide both empirical and certified robustness for a standard model. On the other hand, different robustly trained smoothed models have bee... | [] | Test |
25,424 | 23 | Title: Efficient dynamic model based testing using greedy test case selection
Abstract: Model-based testing (MBT) provides an automated approach for finding discrepancies between software models and their implementation. If we want to incorporate MBT into the fast and iterative software development process that is Cont... | [] | Train |
25,425 | 30 | Title: SpeeChain: A Speech Toolkit for Large-Scale Machine Speech Chain
Abstract: This paper introduces SpeeChain, an open-source Pytorch-based toolkit designed to develop the machine speech chain for large-scale use. This first release focuses on the TTS-to-ASR chain, a core component of the machine speech chain, that... | [
15129
] | Train |
25,426 | 28 | Title: Lossless Transformations and Excess Risk Bounds in Statistical Inference
Abstract: We study the excess minimum risk in statistical inference, defined as the difference between the minimum expected loss in estimating a random variable from an observed feature vector and the minimum expected loss in estimating the... | [] | Train |
25,427 | 27 | Title: Autonomous Agent for Beyond Visual Range Air Combat: A Deep Reinforcement Learning Approach
Abstract: This work contributes to developing an agent based on deep reinforcement learning capable of acting in a beyond visual range (BVR) air combat simulation environment. The paper presents an overview of building an... | [] | Validation |
25,428 | 16 | Title: Transfer Learning and Class Decomposition for Detecting the Cognitive Decline of Alzheimer Disease
Abstract: Early diagnosis of Alzheimer’s disease (AD) is essential in preventing the disease’s progression. Therefore, detecting AD from neuroimaging data such as structural magnetic resonance imaging (sMRI) has be... | [] | Validation |
25,429 | 28 | Title: High-Performance Low-Complexity Hierarchical Frequency Synchronization for Distributed Massive MIMO-OFDMA Systems
Abstract: We propose a high-performance yet low-complexity hierarchical frequency synchronization scheme for orthogonal frequency-division multiple-access (OFDMA) aided distributed massive multi-inpu... | [] | Validation |
25,430 | 16 | Title: Learning Generalized Zero-Shot Learners for Open-Domain Image Geolocalization
Abstract: Image geolocalization is the challenging task of predicting the geographic coordinates of origin for a given photo. It is an unsolved problem relying on the ability to combine visual clues with general knowledge about the wor... | [
42569
] | Train |
25,431 | 28 | Title: Faster List Decoding of AG Codes
Abstract: In this article, we present a fast algorithm performing an instance of the Guruswami-Sudan list decoder for algebraic geometry codes. We show that any such code can be decoded in $\tilde{O}(s^2\ell^{\omega-1}\mu^{\omega-1}(n+g) + \ell^\omega \mu^\omega)$ operations in t... | [] | Train |
25,432 | 15 | Title: Inclusive-PIM: Hardware-Software Co-design for Broad Acceleration on Commercial PIM Architectures
Abstract: Continual demand for memory bandwidth has made it worthwhile for memory vendors to reassess processing in memory (PIM), which enables higher bandwidth by placing compute units in/near-memory. As such, memo... | [
18243
] | Train |
25,433 | 10 | Title: Glamour muscles: why having a body is not what it means to be embodied
Abstract: Embodiment has recently enjoyed renewed consideration as a means to amplify the faculties of smart machines. Proponents of embodiment seem to imply that optimizing for movement in physical space promotes something more than the acqu... | [
34956,
13564,
24022
] | Train |
25,434 | 2 | Title: Contextual Equivalence for Alternation and Urgency
Abstract: We propose a new programming model with support for alternation, imperfect information, and recursion. We model imperfect information with the novel programming construct of urgency annotations that decorate the (angelic and~demonic) choice operators a... | [] | Train |
25,435 | 27 | Title: Deep Learning Guided Autonomous Surgery: Guiding Small Needles into Sub-Millimeter Scale Blood Vessels
Abstract: We propose a general strategy for autonomous guidance and insertion of a needle into a retinal blood vessel. The main challenges underpinning this task are the accurate placement of the needle-tip on ... | [
38380
] | Validation |
25,436 | 31 | Title: Evolution of Filter Bubbles and Polarization in News Recommendation
Abstract: Recent work in news recommendation has demonstrated that recommenders can over-expose users to articles that support their pre-existing opinions. However, most existing work focuses on a static setting or over a short-time window, leav... | [] | Train |
25,437 | 16 | Title: SynTable: A Synthetic Data Generation Pipeline for Unseen Object Amodal Instance Segmentation of Cluttered Tabletop Scenes
Abstract: In this work, we present SynTable, a unified and flexible Python-based dataset generator built using NVIDIA's Isaac Sim Replicator Composer for generating high-quality synthetic da... | [] | Test |
25,438 | 24 | Title: Learning to Parallelize with OpenMP by Augmented Heterogeneous AST Representation
Abstract: Detecting parallelizable code regions is a challenging task, even for experienced developers. Numerous recent studies have explored the use of machine learning for code analysis and program synthesis, including paralleliz... | [] | Train |
25,439 | 21 | Title: Predicting the Students Involvements and its Impacts on Learning Outcomes Through Online Education During Covid-19
Abstract: Everybody knows very well about the COVID-19 pandemic, lockdown, and its impacts and effects on every field of life, from childhood to senior citizens, from local to global. The underlying... | [] | Test |
25,440 | 24 | Title: Time-Myopic Go-Explore: Learning A State Representation for the Go-Explore Paradigm
Abstract: Very large state spaces with a sparse reward signal are difficult to explore. The lack of a sophisticated guidance results in a poor performance for numerous reinforcement learning algorithms. In these cases, the commonl... | [] | Train |
25,441 | 30 | Title: Reading and Reasoning over Chart Images for Evidence-based Automated Fact-Checking
Abstract: Evidence data for automated fact-checking (AFC) can be in multiple modalities such as text, tables, images, audio, or video. While there is increasing interest in using images for AFC, previous works mostly focus on dete... | [
6413,
8707,
5485
] | Train |
25,442 | 27 | Title: Distributed Leader Follower Formation Control of Mobile Robots based on Bioinspired Neural Dynamics and Adaptive Sliding Innovation Filter
Abstract: This paper investigated the distributed leader follower formation control problem for multiple differentially driven mobile robots. A distributed estimator is first... | [] | Train |
25,443 | 6 | Title: Feeling the Temperature of the Room
Abstract: Thermal signals have been explored in HCI for emotion-elicitation and enhancing two-person communication, showing that temperature invokes social and emotional signals in individuals. Yet, extending these findings to group communication is missing. We investigated ho... | [] | Train |
25,444 | 24 | Title: A Transfer Learning Framework for Proactive Ramp Metering Performance Assessment
Abstract: Transportation agencies need to assess ramp metering performance when deploying or expanding a ramp metering system. The evaluation of a ramp metering strategy is primarily centered around examining its impact on freeway t... | [
44160,
35909,
12714,
39243,
39149,
13714,
20759
] | Test |
25,445 | 36 | Title: Markov Persuasion Processes with Endogenous Agent Beliefs
Abstract: We consider a dynamic Bayesian persuasion setting where a single long-lived sender persuades a stream of ``short-lived'' agents (receivers) by sharing information about a payoff-relevant state. The state transitions are Markovian and the sender ... | [] | Test |
25,446 | 27 | Title: Cooperative Collision Avoidance in a Connected Vehicle Environment
Abstract: Connected vehicle (CV) technology is among the most heavily researched areas in both the academia and industry. The vehicle to vehicle (V2V), vehicle to infrastructure (V2I) and vehicle to pedestrian (V2P) communication capabilities ena... | [
33005
] | Train |
25,447 | 30 | Title: Contrastive Decoding Improves Reasoning in Large Language Models
Abstract: We demonstrate that Contrastive Decoding -- a simple, computationally light, and training-free text generation method proposed by Li et al 2022 -- achieves large out-of-the-box improvements over greedy decoding on a variety of reasoning t... | [
22444,
13700,
24807
] | Validation |
25,448 | 10 | Title: Computing a Partition Function of a Generalized Pattern-Based Energy over a Semiring
Abstract: nan | [] | Train |
25,449 | 16 | Title: Towards Surgical Context Inference and Translation to Gestures
Abstract: Manual labeling of gestures in robot-assisted surgery is labor intensive, prone to errors, and requires expertise or training. We propose a method for automated and explainable generation of gesture transcripts that leverages the abundance ... | [
42188
] | Test |
25,450 | 2 | Title: Outcome Logic: A Unifying Foundation for Correctness and Incorrectness Reasoning
Abstract: Program logics for bug-finding (such as the recently introduced Incorrectness Logic) have framed correctness and incorrectness as dual concepts requiring different logical foundations. In this paper, we argue that a single... | [
26169,
38605,
30615
] | Train |
25,451 | 24 | Title: AERK: Aligned Entropic Reproducing Kernels through Continuous-time Quantum Walks
Abstract: In this work, we develop an Aligned Entropic Reproducing Kernel (AERK) for graph classification. We commence by performing the Continuous-time Quantum Walk (CTQW) on each graph structure, and computing the Averaged Mixing ... | [] | Train |
25,452 | 16 | Title: APE: An Open and Shared Annotated Dataset for Learning Urban Pedestrian Path Networks
Abstract: Inferring the full transportation network, including sidewalks and cycleways, is crucial for many automated systems, including autonomous driving, multi-modal navigation, trip planning, mobility simulations, and freig... | [] | Test |
25,453 | 16 | Title: Implicit Temporal Modeling with Learnable Alignment for Video Recognition
Abstract: Contrastive language-image pretraining (CLIP) has demonstrated remarkable success in various image tasks. However, how to extend CLIP with effective temporal modeling is still an open and crucial problem. Existing factorized or j... | [
25601,
45153,
32423,
25100,
37234,
1723,
8253
] | Train |
25,454 | 16 | Title: Seeing is not Believing: An Identity Hider for Human Vision Privacy Protection
Abstract: Massive captured face images are stored in the database for the identification of individuals. However, the stored images can be observed intentionally or unintentionally by data managers, which is not at the will of individ... | [] | Train |
25,455 | 30 | Title: Automated Feedback Generation for a Chemistry Database and Abstracting Exercise
Abstract: Timely feedback is an important part of teaching and learning. Here we describe how a readily available neural network transformer (machine-learning) model (BERT) can be used to give feedback on the structure of the respons... | [
45850
] | Test |
25,456 | 16 | Title: Self-Supervised Learning for Improved Synthetic Aperture Sonar Target Recognition
Abstract: This study explores the application of self-supervised learning (SSL) for improved target recognition in synthetic aperture sonar (SAS) imagery. The unique challenges of underwater environments make traditional computer v... | [] | Train |
25,457 | 25 | Title: Polyffusion: A Diffusion Model for Polyphonic Score Generation with Internal and External Controls
Abstract: We propose Polyffusion, a diffusion model that generates polyphonic music scores by regarding music as image-like piano roll representations. The model is capable of controllable music generation with two... | [] | Train |
25,458 | 30 | Title: Automated Sentiment and Hate Speech Analysis of Facebook Data by Employing Multilingual Transformer Models
Abstract: In recent years, there has been a heightened consensus – both within academia and in the public discourse – that Social Media Platforms (SMPs), amplify the spread of hateful and negative sentiment... | [
13998
] | Validation |
25,459 | 30 | Title: How is Fatherhood Framed Online in Singapore?
Abstract: The proliferation of discussion about fatherhood in Singapore attests to its significance, indicating the need for an exploration of how fatherhood is framed, aiding policy-making around fatherhood in Singapore. Sound and holistic policy around fatherhood i... | [] | Train |
25,460 | 24 | Title: Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations
Abstract: Imitation learning has achieved great success in many sequential decision-making tasks, in which a neural agent is learned by imitating collected human demonstrations. However, existing algorithms typically require a large numb... | [
14568,
12409
] | Train |
25,461 | 16 | Title: Active Visual Exploration Based on Attention-Map Entropy
Abstract: Active visual exploration addresses the issue of limited sensor capabilities in real-world scenarios, where successive observations are actively chosen based on the environment. To tackle this problem, we introduce a new technique called Attentio... | [] | Test |
25,462 | 24 | Title: Canvas: End-to-End Kernel Architecture Search in Neural Networks
Abstract: The demands for higher performance and accuracy in neural networks (NNs) never end. Existing tensor compilation and Neural Architecture Search (NAS) techniques orthogonally optimize the two goals but actually share many similarities in th... | [] | Validation |
25,463 | 2 | Title: Making IP=PSPACE Practical: Efficient Interactive Protocols for BDD Algorithms
Abstract: nan | [] | Train |
25,464 | 24 | Title: Effects of Data Geometry in Early Deep Learning
Abstract: Deep neural networks can approximate functions on different types of data, from images to graphs, with varied underlying structure. This underlying structure can be viewed as the geometry of the data manifold. By extending recent advances in the theoretic... | [
28697
] | Train |
25,465 | 24 | Title: Learning Linear Groups in Neural Networks
Abstract: Employing equivariance in neural networks leads to greater parameter efficiency and improved generalization performance through the encoding of domain knowledge in the architecture; however, the majority of existing approaches require an a priori specification ... | [] | Validation |
25,466 | 28 | Title: The Secure CEO Problem With Physical Identifiers Under Logarithmic Loss and Quadratic Distortion Measures
Abstract: In this paper, we investigate the fundamental limits of the chief executive officer (CEO) problem in which physical identifiers are treated as information sources. To make the information leakage o... | [] | Test |
25,467 | 6 | Title: Beyond the Boolean: How Programmers Ask About, Use, and Discuss Gender
Abstract: Categorization via gender is omnipresent throughout society, and thus also computing; gender identity is often requested of users before they use software or web services. Despite this fact, no research has explored how software dev... | [] | Train |
25,468 | 6 | Title: A Hybrid Data-Driven Web-Based UI-UX Assessment Model
Abstract: Today, a large proportion of end user information systems have their Graphical User Interfaces (GUI) built with web-based technology (JavaScript, CSS, and HTML). Some of these web-based systems include: Internet of Things (IOT), Infotainment (in veh... | [] | Train |
25,469 | 16 | Title: Obstacle-Transformer: A Trajectory Prediction Network Based on Surrounding Trajectories
Abstract: Recurrent Neural Network, Long Short-Term Memory, and Transformer have made great progress in predicting the trajectories of moving objects. Although the trajectory element with the surrounding scene features has be... | [] | Train |
25,470 | 30 | Title: Everyone's Voice Matters: Quantifying Annotation Disagreement Using Demographic Information
Abstract: In NLP annotation, it is common to have multiple annotators label the text and then obtain the ground truth labels based on major annotators’ agreement. However, annotators are individuals with different backgro... | [
24841,
33369,
14516,
6233,
26428,
9821
] | Train |
25,471 | 16 | Title: DFR-Net: Density Feature Refinement Network for Image Dehazing Utilizing Haze Density Difference
Abstract: In image dehazing task, haze density is a key feature and affects the performance of dehazing methods. However, some of the existing methods lack a comparative image to measure densities, and others create ... | [] | Train |
25,472 | 36 | Title: On the Efficiency of An Election Game of Two or More Parties: How Bad Can It Be?
Abstract: We extend our previous work on two-party election competition [Lin, Lu&Chen 2021] to the setting of three or more parties. An election campaign among two or more parties is viewed as a game of two or more players. Each of ... | [] | Train |
25,473 | 30 | Title: The Perfect Victim: Computational Analysis of Judicial Attitudes towards Victims of Sexual Violence
Abstract: We develop computational models to analyze court statements in order to assess judicial attitudes toward victims of sexual violence in the Israeli court system. The study examines the resonance of "rape ... | [] | Train |
25,474 | 16 | Title: Detect Any Deepfakes: Segment Anything Meets Face Forgery Detection and Localization
Abstract: The rapid advancements in computer vision have stimulated remarkable progress in face forgery techniques, capturing the dedicated attention of researchers committed to detecting forgeries and precisely localizing manip... | [
33986,
45546,
4643,
35324
] | Train |
25,475 | 24 | Title: A Multi-Source Information Learning Framework for Airbnb Price Prediction
Abstract: With the development of technology and sharing economy, Airbnb as a famous short-term rental platform, has become the first choice for many young people to select. The issue of Airbnb's pricing has always been a problem worth stu... | [] | Train |
25,476 | 13 | Title: Improving Performance Insensitivity of Large-scale Multiobjective Optimization via Monte Carlo Tree Search
Abstract: The large-scale multiobjective optimization problem (LSMOP) is characterized by simultaneously optimizing multiple conflicting objectives and involving hundreds of decision variables. Many real-wo... | [] | Validation |
25,477 | 30 | Title: Linear Cross-Lingual Mapping of Sentence Embeddings
Abstract: Semantics of a sentence is defined with much less ambiguity than semantics of a single word, and it should be better preserved by translation to another language. If multilingual sentence embeddings intend to represent sentence semantics, then the sim... | [] | Train |
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