node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
38,678 | 10 | Title: Some Options for Instantiation of Bipolar Argument Graphs with Deductive Arguments
Abstract: Argument graphs provide an abstract representation of an argumentative situation. A bipolar argument graph is a directed graph where each node denotes an argument, and each arc denotes the influence of one argument on an... | [] | Test |
38,679 | 27 | Title: Natural and Robust Walking using Reinforcement Learning without Demonstrations in High-Dimensional Musculoskeletal Models
Abstract: Humans excel at robust bipedal walking in complex natural environments. In each step, they adequately tune the interaction of biomechanical muscle dynamics and neuronal signals to b... | [
22400,
9943
] | Train |
38,680 | 11 | Title: Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning
Abstract: Cooperative multi-agent reinforcement learning (MARL) requires agents to explore to learn to cooperate. Existing value-based MARL algorithms commonly rely on random exploration, such as $\epsilon$-greedy, which is ... | [
30491
] | Train |
38,681 | 16 | Title: Towards Privacy-Supporting Fall Detection via Deep Unsupervised RGB2Depth Adaptation
Abstract: Fall detection is a vital task in health monitoring, as it allows the system to trigger an alert and therefore enabling faster interventions when a person experiences a fall. Although most previous approaches rely on s... | [] | Train |
38,682 | 15 | Title: Analysing Mechanisms for Virtual Channel Management in Low-Diameter networks
Abstract: To interconnect their growing number of servers, current supercomputers and data centers are starting to adopt low-diameter networks, such as HyperX, Dragonfly and Dragonfly+. These emergent topologies require balancing the lo... | [] | Train |
38,683 | 25 | Title: Diffusion-Based Speech Enhancement with Joint Generative and Predictive Decoders
Abstract: Diffusion-based speech enhancement (SE) has been investigated recently, but its decoding is very time-consuming. One solution is to initialize the decoding process with the enhanced feature estimated by a predictive SE sys... | [
31539
] | Train |
38,684 | 27 | Title: A Comprehensive Review of Recent Research Trends on UAVs
Abstract: The growing interest in unmanned aerial vehicles (UAVs) from both the scientific and industrial sectors has attracted a wave of new researchers and substantial investments in this expansive field. However, due to the wide range of topics and subd... | [
36681,
13882,
18543,
295
] | Train |
38,685 | 26 | Title: LogDoctor: an open and decentralized worker-centered solution for occupational management in healthcare
Abstract: Occupational stress among health workers is a pervasive issue that affects individual well-being, patient care quality, and healthcare systems' sustainability. Current time-tracking solutions are mos... | [] | Train |
38,686 | 24 | Title: Gradient-Boosted Based Structured and Unstructured Learning
Abstract: We propose two frameworks to deal with problem settings in which both structured and unstructured data are available. Structured data problems are best solved by traditional machine learning models such as boosting and tree-based algorithms, w... | [] | Train |
38,687 | 16 | Title: Jumping through Local Minima: Quantization in the Loss Landscape of Vision Transformers
Abstract: Quantization scale and bit-width are the most important parameters when considering how to quantize a neural network. Prior work focuses on optimizing quantization scales in a global manner through gradient methods ... | [] | Test |
38,688 | 27 | Title: Communication-Efficient Reinforcement Learning in Swarm Robotic Networks for Maze Exploration
Abstract: Smooth coordination within a swarm robotic system is essential for the effective execution of collective robot missions. Having efficient communication is key to the successful coordination of swarm robots. Th... | [] | Train |
38,689 | 4 | Title: Understanding Privacy Over-collection in WeChat Sub-app Ecosystem
Abstract: Nowadays the app-in-app paradigm is becoming increasingly popular, and sub-apps have become an important form of mobile applications. WeChat, the leading app-in-app platform, provides millions of sub-apps that can be used for online shop... | [] | Train |
38,690 | 30 | Title: SLABERT Talk Pretty One Day: Modeling Second Language Acquisition with BERT
Abstract: Second language acquisition (SLA) research has extensively studied cross-linguistic transfer, the influence of linguistic structure of a speaker’s native language [L1] on the successful acquisition of a foreign language [L2]. E... | [] | Train |
38,691 | 6 | Title: My Actions Speak Louder Than Your Words: When User Behavior Predicts Their Beliefs about Agents' Attributes
Abstract: nan | [
44060
] | Test |
38,692 | 28 | Title: Design and analysis of bent functions using M-subspaces
Abstract: In this article, we provide the first systematic analysis of bent functions $f$ on $\mathbb{F}_2^{n}$ in the Maiorana-McFarland class $\mathcal{MM}$ regarding the origin and cardinality of their $\mathcal{M}$-subspaces, i.e., vector subspaces on w... | [] | Train |
38,693 | 10 | Title: AIGC Empowering Telecom Sector White Paper_chinese
Abstract: In the global craze of GPT, people have deeply realized that AI, as a transformative technology and key force in economic and social development, will bring great leaps and breakthroughs to the global industry and profoundly influence the future world ... | [] | Validation |
38,694 | 16 | Title: HHTrack: Hyperspectral Object Tracking Using Hybrid Attention
Abstract: Hyperspectral imagery provides abundant spectral information beyond the visible RGB bands, offering rich discriminative details about objects in a scene. Leveraging such data has the potential to enhance visual tracking performance. In this ... | [
26484
] | Train |
38,695 | 4 | Title: Energy-Latency Attacks to On-Device Neural Networks via Sponge Poisoning
Abstract: In recent years, on-device deep learning has gained attention as a means of developing affordable deep learning applications for mobile devices. However, on-device models are constrained by limited energy and computation resources... | [
44195,
13215
] | Validation |
38,696 | 16 | Title: Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models
Abstract: Despite tremendous progress in generating high-quality images using diffusion models, synthesizing a sequence of animated frames that are both photorealistic and temporally coherent is still in its infancy. While off-the-shelf bill... | [
20960,
42272,
43328,
7078,
16103,
12841,
23563,
7597,
19378,
32467,
8308,
23669,
17526,
43799,
34074
] | Train |
38,697 | 30 | Title: Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback
Abstract: A trustworthy real-world prediction system should be well-calibrated; that is, its confidence in an answer is indicative of the likelihood that the answer is correct, enab... | [
12896,
481,
33220,
13510,
24552,
17801,
44623,
4274,
37947,
3740,
8639
] | Train |
38,698 | 30 | Title: Medical Question Summarization with Entity-driven Contrastive Learning
Abstract: By summarizing longer consumer health questions into shorter and essential ones, medical question answering (MQA) systems can more accurately understand consumer intentions and retrieve suitable answers. However, medical question su... | [] | Train |
38,699 | 4 | Title: Verifi-Chain: A Credentials Verifier using Blockchain and IPFS
Abstract: Submitting fake certificates is a common problem in Southeast Asia, which prevents qualified candidates from getting the jobs they deserve. When applying for a job, students must provide academic credentials as proof of their qualifications... | [] | Train |
38,700 | 24 | Title: Learning Locally Interpretable Rule Ensemble
Abstract: This paper proposes a new framework for learning a rule ensemble model that is both accurate and interpretable. A rule ensemble is an interpretable model based on the linear combination of weighted rules. In practice, we often face the trade-off between the ... | [] | Train |
38,701 | 24 | Title: SVDinsTN: An Integrated Method for Tensor Network Representation with Efficient Structure Search
Abstract: Tensor network (TN) representation is a powerful technique for data analysis and machine learning. It practically involves a challenging TN structure search (TN-SS) problem, which aims to search for the opt... | [
43360,
24977,
31754
] | Train |
38,702 | 16 | Title: Cross-Video Contextual Knowledge Exploration and Exploitation for Ambiguity Reduction in Weakly Supervised Temporal Action Localization
Abstract: Weakly supervised temporal action localization (WSTAL) aims to localize actions in untrimmed videos using video-level labels. Despite recent advances, existing approac... | [
16353,
6116
] | Train |
38,703 | 10 | Title: Learning Reward Machines in Cooperative Multi-Agent Tasks
Abstract: This paper presents a novel approach to Multi-Agent Reinforcement Learning (MARL) that combines cooperative task decomposition with the learning of reward machines (RMs) encoding the structure of the sub-tasks. The proposed method helps deal wit... | [
18644
] | Train |
38,704 | 24 | Title: Developing Driving Strategies Efficiently: A Skill-Based Hierarchical Reinforcement Learning Approach
Abstract: Driving in dense traffic with human and autonomous drivers is a challenging task that requires high-level planning and reasoning. Human drivers can achieve this task comfortably, and there has been man... | [] | Test |
38,705 | 16 | Title: Forest Parameter Prediction by Multiobjective Deep Learning of Regression Models Trained with Pseudo-Target Imputation
Abstract: In prediction of forest parameters with data from remote sensing (RS), regression models have traditionally been trained on a small sample of ground reference data. This paper proposes... | [] | Train |
38,706 | 26 | Title: Preemptive Detection of Fake Accounts on Social Networks via Multi-Class Preferential Attachment Classifiers
Abstract: In this paper, we describe a new algorithm called Preferential Attac hment k-class Classifier (PreAttacK) for detecting fake accounts in a social network. Recently, several algorithms have obtai... | [] | Train |
38,707 | 10 | Title: Data Quality-aware Mixed-precision Quantization via Hybrid Reinforcement Learning
Abstract: Mixed-precision quantization mostly predetermines the model bit-width settings before actual training due to the non-differential bit-width sampling process, obtaining sub-optimal performance. Worse still, the conventiona... | [
32677,
511,
4910,
18290,
36063
] | Train |
38,708 | 27 | Title: Obstacle avoidance using Raycasting and Riemannian Motion Policies at kHz rates for MAVs
Abstract: This paper presents a novel method for using Riemannian Motion Policies on volumetric maps, shown in the example of obstacle avoidance for Micro Aerial Vehicles (MAVs), Today, most robotic obstacle avoidance algori... | [] | Test |
38,709 | 30 | Title: Advancements in Scientific Controllable Text Generation Methods
Abstract: The previous work on controllable text generation is organized using a new schema we provide in this study. Seven components make up the schema, and each one is crucial to the creation process. To accomplish controlled generation for scien... | [
44323,
13700,
34821,
9518,
41053
] | Validation |
38,710 | 16 | Title: Fairness Index Measures to Evaluate Bias in Biometric Recognition
Abstract: The demographic disparity of biometric systems has led to serious concerns regarding their societal impact as well as applicability of such systems in private and public domains. A quantitative evaluation of demographic fairness is an im... | [
26591
] | Validation |
38,711 | 28 | Title: Energy Efficiency of MIMO Massive Unsourced Random Access With Finite Blocklength
Abstract: This letter investigates the energy efficiency of massive unsourced random access (URA) in multiple-input multiple-output quasi-static Rayleigh fading channels. Specifically, we derive achievability and converse bounds on... | [
4196
] | Validation |
38,712 | 25 | Title: Do Orcas Have Semantic Language? Machine Learning to Predict Orca Behaviors Using Partially Labeled Vocalization Data
Abstract: Orcinus orca (killer whales) exhibit complex calls. They last about a second. In a call, an orca typically uses multiple frequencies simultaneously, varies the frequencies, and varies t... | [] | Train |
38,713 | 16 | Title: DiffFashion: Reference-based Fashion Design with Structure-aware Transfer by Diffusion Models
Abstract: Image-based fashion design with AI techniques has attracted increasing attention in recent years. We focus on a new fashion design task, where we aim to transfer a reference appearance image onto a clothing im... | [
34501,
23339,
5682,
21625,
18175
] | Test |
38,714 | 24 | Title: Certified Robust Models with Slack Control and Large Lipschitz Constants
Abstract: Despite recent success, state-of-the-art learning-based models remain highly vulnerable to input changes such as adversarial examples. In order to obtain certifiable robustness against such perturbations, recent work considers Lip... | [
42416,
7433,
40007
] | Train |
38,715 | 30 | Title: string2string: A Modern Python Library for String-to-String Algorithms
Abstract: We introduce string2string, an open-source library that offers a comprehensive suite of efficient algorithms for a broad range of string-to-string problems. It includes traditional algorithmic solutions as well as recent advanced ne... | [
3861
] | Validation |
38,716 | 27 | Title: Holistic Deep-Reinforcement-Learning-based Training of Autonomous Navigation Systems
Abstract: In recent years, Deep Reinforcement Learning emerged as a promising approach for autonomous navigation of ground vehicles and has been utilized in various areas of navigation such as cruise control, lane changing, or o... | [
30136
] | Train |
38,717 | 27 | Title: A Model Predictive Path Integral Method for Fast, Proactive, and Uncertainty-Aware UAV Planning in Cluttered Environments
Abstract: Current motion planning approaches for autonomous mobile robots often assume that the low level controller of the system is able to track the planned motion with very high accuracy.... | [] | Validation |
38,718 | 3 | Title: A short review of the main concerns in A.I. development and application within the public sector supported by NLP and TM
Abstract: Artificial Intelligence is not a new subject, and business, industry and public sectors have used it in different ways and contexts and considering multiple concerns. This work revie... | [] | Test |
38,719 | 2 | Title: Stack-Aware Hyperproperties
Abstract: A hyperproperty relates executions of a program and is used to formalize security objectives such as confidentiality, non-interference, privacy, and anonymity. Formally, a hyperproperty is a collection of allowable sets of executions. A program violates a hyperproperty if th... | [] | Validation |
38,720 | 16 | Title: GANalyzer: Analysis and Manipulation of GANs Latent Space for Controllable Face Synthesis
Abstract: Generative Adversarial Networks (GANs) are capable of synthesizing high-quality facial images. Despite their success, GANs do not provide any information about the relationship between the input vectors and the ge... | [] | Train |
38,721 | 27 | Title: FLSea: Underwater Visual-Inertial and Stereo-Vision Forward-Looking Datasets
Abstract: Visibility underwater is challenging, and degrades as the distance between the subject and camera increases, making vision tasks in the forward-looking direction more difficult. We have collected underwater forward-looking ste... | [] | Validation |
38,722 | 16 | Title: High Fidelity Synthetic Face Generation for Rosacea Skin Condition from Limited Data
Abstract: Similar to the majority of deep learning applications, diagnosing skin diseases using computer vision and deep learning often requires a large volume of data. However, obtaining sufficient data for particular types of ... | [] | Train |
38,723 | 36 | Title: Learning not to Regret
Abstract: Regret minimization is a key component of many algorithms for finding Nash equilibria in imperfect-information games. To scale to games that cannot fit in memory, we can use search with value functions. However, calling the value functions repeatedly in search can be expensive. T... | [] | Test |
38,724 | 16 | Title: ViP: A Differentially Private Foundation Model for Computer Vision
Abstract: Artificial intelligence (AI) has seen a tremendous surge in capabilities thanks to the use of foundation models trained on internet-scale data. On the flip side, the uncurated nature of internet-scale data also poses significant privacy... | [
15921,
13700,
2855
] | Test |
38,725 | 3 | Title: Expanding Explainability: From Explainable Artificial Intelligence to Explainable Hardware
Abstract: The increasing opaqueness of AI and its growing influence on our digital society highlight the necessity for AI-based systems that are trustworthy, accountable, and fair. Previous research emphasizes explainabili... | [] | Train |
38,726 | 16 | Title: Dual Relation Knowledge Distillation for Object Detection
Abstract: Knowledge distillation is an effective method for model compression. However, it is still a challenging topic to apply knowledge distillation to detection tasks. There are two key points resulting in poor distillation performance for detection t... | [] | Test |
38,727 | 13 | Title: Using Affine Combinations of BBOB Problems for Performance Assessment
Abstract: Benchmarking plays a major role in the development and analysis of optimization algorithms. As such, the way in which the used benchmark problems are defined significantly affects the insights that can be gained from any given benchm... | [
6561,
28996
] | Test |
38,728 | 28 | Title: Constructions of Constant Dimension Subspace Codes
Abstract: Subspace codes have important applications in random network coding. It is interesting to construct subspace codes with both sizes, and the minimum distances are as large as possible. In particular, cyclic constant dimension subspaces codes have additi... | [] | Validation |
38,729 | 24 | Title: Provably Efficient Representation Learning with Tractable Planning in Low-Rank POMDP
Abstract: In this paper, we study representation learning in partially observable Markov Decision Processes (POMDPs), where the agent learns a decoder function that maps a series of high-dimensional raw observations to a compact... | [] | Validation |
38,730 | 24 | Title: SLoRA: Federated Parameter Efficient Fine-Tuning of Language Models
Abstract: Transfer learning via fine-tuning pre-trained transformer models has gained significant success in delivering state-of-the-art results across various NLP tasks. In the absence of centralized data, Federated Learning (FL) can benefit fr... | [
12851,
31158
] | Train |
38,731 | 28 | Title: Network-Assisted Full-Duplex Cell-Free Massive MIMO: Spectral and Energy Efficiencies
Abstract: We consider network-assisted full-duplex (NAFD) cell-free massive multiple-input multiple-output (CF-mMIMO) systems, where full-duplex (FD) transmission is virtually realized via half-duplex (HD) hardware devices. The... | [] | Validation |
38,732 | 30 | Title: Pre-Trained Language-Meaning Models for Multilingual Parsing and Generation
Abstract: Pre-trained language models (PLMs) have achieved great success in NLP and have recently been used for tasks in computational semantics. However, these tasks do not fully benefit from PLMs since meaning representations are not e... | [] | Validation |
38,733 | 3 | Title: Understanding and improving social factors in education: a computational social science approach
Abstract: Over the past decade, an explosion in the availability of education-related datasets has enabled new computational research in education. Much of this work has investigated digital traces of online learners... | [
23404
] | Train |
38,734 | 16 | Title: Large-scale Multi-modal Pre-trained Models: A Comprehensive Survey
Abstract: nan | [
17248,
24193,
28450,
32869,
41126,
36040,
6921,
31722,
28443,
1151,
16638,
17375
] | Train |
38,735 | 25 | Title: Acoustic Identification of Ae. aegypti Mosquitoes using Smartphone Apps and Residual Convolutional Neural Networks
Abstract: In this paper, we advocate in favor of smartphone apps as low-cost, easy-to-deploy solution for raising awareness among the population on the proliferation of Aedes aegypti mosquitoes. Nev... | [] | Train |
38,736 | 22 | Title: Monitoring Hyperproperties With Prefix Transducers
Abstract: Hyperproperties are properties that relate multiple execution traces. Previous work on monitoring hyperproperties focused on synchronous hyperproperties, usually specified in HyperLTL. When monitoring synchronous hyperproperties, all traces are assumed... | [
18593
] | Train |
38,737 | 30 | Title: A Systematic Evaluation of Federated Learning on Biomedical Natural Language Processing
Abstract: Language models (LMs) like BERT and GPT have revolutionized natural language processing (NLP). However, privacy-sensitive domains, particularly the medical field, face challenges to train LMs due to limited data acc... | [
43675
] | Validation |
38,738 | 30 | Title: Integrating a Heterogeneous Graph with Entity-aware Self-attention using Relative Position Labels for Reading Comprehension Model
Abstract: Despite the significant progress made by transformer models in machine reading comprehension tasks, they still fall short in handling complex reasoning tasks due to the abse... | [
10429
] | Train |
38,739 | 16 | Title: DiffusionDepth: Diffusion Denoising Approach for Monocular Depth Estimation
Abstract: Monocular depth estimation is a challenging task that predicts the pixel-wise depth from a single 2D image. Current methods typically model this problem as a regression or classification task. We propose DiffusionDepth, a new a... | [
37217,
3938,
32261,
41640,
45579,
39577,
410,
6878
] | Test |
38,740 | 4 | Title: Chained-DP: Can We Recycle Privacy Budget?
Abstract: Privacy-preserving vector mean estimation is a crucial primitive in federated analytics. Existing practices usually resort to Local Differentiated Privacy (LDP) mechanisms that inject random noise into users' vectors when communicating with users and the centr... | [] | Train |
38,741 | 7 | Title: Low-Frequency Stabilization of Dielectric Simulation Problems with Conductors and Insulators
Abstract: When simulating resistive-capacitive circuits or electroquasistatic problems where conductors and insulators coexist, one observes that large time steps or low frequencies lead to numerical instabilities, which... | [] | Train |
38,742 | 16 | Title: Improving Nonalcoholic Fatty Liver Disease Classification Performance With Latent Diffusion Models
Abstract: Integrating deep learning with clinical expertise holds great potential for addressing healthcare challenges and empowering medical professionals with improved diagnostic tools. However, the need for anno... | [
45104
] | Test |
38,743 | 16 | Title: Reconstructing Signing Avatars from Video Using Linguistic Priors
Abstract: Sign language (SL) is the primary method of communication for the 70 million Deaf people around the world. Video dictionaries of isolated signs are a core SL learning tool. Replacing these with 3D avatars can aid learning and enable AR/V... | [
25694
] | Train |
38,744 | 24 | Title: Auditing Predictive Models for Intersectional Biases
Abstract: Predictive models that satisfy group fairness criteria in aggregate for members of a protected class, but do not guarantee subgroup fairness, could produce biased predictions for individuals at the intersection of two or more protected classes. To ad... | [] | Train |
38,745 | 22 | Title: Linearizability Analysis of the Contention-Friendly Binary Search Tree
Abstract: We present a formal framework for proving the correctness of set implementations backed by binary-search-tree (BST) and linked lists, which are often difficult to prove correct using automation. This is because many concurrent set i... | [] | Train |
38,746 | 24 | Title: FedCiR: Client-Invariant Representation Learning for Federated Non-IID Features
Abstract: Federated learning (FL) is a distributed learning paradigm that maximizes the potential of data-driven models for edge devices without sharing their raw data. However, devices often have non-independent and identically dist... | [
1920,
43256
] | Train |
38,747 | 24 | Title: Specformer: Spectral Graph Neural Networks Meet Transformers
Abstract: Spectral graph neural networks (GNNs) learn graph representations via spectral-domain graph convolutions. However, most existing spectral graph filters are scalar-to-scalar functions, i.e., mapping a single eigenvalue to a single filtered val... | [
36569,
30466,
32060,
40478
] | Validation |
38,748 | 24 | Title: A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning
Abstract: We investigate learning the equilibria in non-stationary multi-agent systems and address the challenges that differentiate multi-agent learning from single-agent learning. Specifically, we focus on games with bandit feedback, wh... | [
2520,
16276,
40550
] | Validation |
38,749 | 4 | Title: SHAPFUZZ: Efficient Fuzzing via Shapley-Guided Byte Selection
Abstract: Mutation-based fuzzing is popular and effective in discovering unseen code and exposing bugs. However, only a few studies have concentrated on quantifying the importance of input bytes, which refers to the degree to which a byte contributes ... | [] | Validation |
38,750 | 26 | Title: Discovering Communication Pattern Shifts in Large-Scale Networks using Encoder Embedding and Vertex Dynamics
Abstract: The analysis of large-scale time-series network data, such as social media and email communications, remains a significant challenge for graph analysis methodology. In particular, the scalabilit... | [] | Validation |
38,751 | 16 | Title: RobustNeRF: Ignoring Distractors with Robust Losses
Abstract: Neural radiance fields (NeRF) excel at synthesizing new views given multi-view, calibrated images of a static scene. When scenes include distractors, which are not persistent during image capture (moving objects, lighting variations, shadows), artifac... | [
36580,
16735,
24777,
38959,
41055
] | Train |
38,752 | 24 | Title: Unsupervised Deep One-Class Classification with Adaptive Threshold based on Training Dynamics
Abstract: One-class classification has been a prevailing method in building deep anomaly detection models under the assumption that a dataset consisting of normal samples is available. In practice, however, abnormal sam... | [] | Validation |
38,753 | 16 | Title: Semantic-Promoted Debiasing and Background Disambiguation for Zero-Shot Instance Segmentation
Abstract: Zero-shot instance segmentation aims to detect and precisely segment objects of unseen categories without any training samples. Since the model is trained on seen categories, there is a strong bias that the mo... | [
31747,
29733,
34982,
17097,
28592,
38577,
41109,
17590,
44890
] | Train |
38,754 | 24 | Title: Hybrid Augmented Automated Graph Contrastive Learning
Abstract: Graph augmentations are essential for graph contrastive learning. Most existing works use pre-defined random augmentations, which are usually unable to adapt to different input graphs and fail to consider the impact of different nodes and edges on g... | [] | Train |
38,755 | 13 | Title: Solving Novel Program Synthesis Problems with Genetic Programming using Parametric Polymorphism
Abstract: Contemporary genetic programming (GP) systems for general program synthesis have been primarily concerned with evolving programs that can manipulate values from a standard set of primitive data types and sim... | [] | Train |
38,756 | 16 | Title: DiffAVA: Personalized Text-to-Audio Generation with Visual Alignment
Abstract: Text-to-audio (TTA) generation is a recent popular problem that aims to synthesize general audio given text descriptions. Previous methods utilized latent diffusion models to learn audio embedding in a latent space with text embedding... | [
4481,
27174,
5543,
23313,
30385,
3315
] | Validation |
38,757 | 16 | Title: Filter Pruning based on Information Capacity and Independence
Abstract: Filter pruning has been widely used in the compression and acceleration of convolutional neural networks (CNNs). However, most existing methods are still challenged by heavy compute cost and biased filter selection. Moreover, most designs fo... | [] | Validation |
38,758 | 24 | Title: No Fair Lunch: A Causal Perspective on Dataset Bias in Machine Learning for Medical Imaging
Abstract: As machine learning methods gain prominence within clinical decision-making, addressing fairness concerns becomes increasingly urgent. Despite considerable work dedicated to detecting and ameliorating algorithmi... | [
3992,
39063
] | Train |
38,759 | 5 | Title: Benchmark Framework with Skewed Workloads
Abstract: In this work, we present a new benchmarking suite with new real-life inspired skewed workloads to test the performance of concurrent index data structures. We started this project to prepare workloads specifically for self-adjusting data structures, i.e., they ... | [] | Train |
38,760 | 16 | Title: There Is a Digital Art History
Abstract: In this paper, we revisit Johanna Drucker's question,"Is there a digital art history?"-- posed exactly a decade ago -- in the light of the emergence of large-scale, transformer-based vision models. While more traditional types of neural networks have long been part of dig... | [] | Train |
38,761 | 10 | Title: Mechanism Design for Ad Auctions with Display Prices
Abstract: In many applications, ads are displayed together with the prices, so as to provide a direct comparison among similar products or services. The price-displaying feature not only influences the consumers' decisions, but also affects the advertisers' bi... | [] | Train |
38,762 | 30 | Title: MultiQG-TI: Towards Question Generation from Multi-modal Sources
Abstract: We study the new problem of automatic question generation (QG) from multi-modal sources containing images and texts, significantly expanding the scope of most of the existing work that focuses exclusively on QG from only textual sources. ... | [
10624,
1854
] | Train |
38,763 | 24 | Title: Smoothed Analysis of Sequential Probability Assignment
Abstract: We initiate the study of smoothed analysis for the sequential probability assignment problem with contexts. We study information-theoretically optimal minmax rates as well as a framework for algorithmic reduction involving the maximum likelihood es... | [
30645
] | Test |
38,764 | 30 | Title: A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation
Abstract: Recently developed large language models have achieved remarkable success in generating fluent and coherent text. However, these models often tend to 'hallucinate' which critically hampe... | [
13700,
13765,
29606,
21127,
2506,
37360
] | Validation |
38,765 | 30 | Title: Decoding the Underlying Meaning of Multimodal Hateful Memes
Abstract: Recent studies have proposed models that yielded promising performance for the hateful meme classification task. Nevertheless, these proposed models do not generate interpretable explanations that uncover the underlying meaning and support the... | [
39257,
32282,
5486,
8535
] | Train |
38,766 | 10 | Title: Diversity Induced Environment Design via Self-Play
Abstract: Recent work on designing an appropriate distribution of environments has shown promise for training effective generally capable agents. Its success is partly because of a form of adaptive curriculum learning that generates environment instances (or lev... | [
19580,
28990
] | Train |
38,767 | 26 | Title: Public Perception of Generative AI on Twitter: An Empirical Study Based on Occupation and Usage
Abstract: The emergence of generative AI has sparked substantial discussions, with the potential to have profound impacts on society in all aspects. As emerging technologies continue to advance, it is imperative to fa... | [
16827,
11509
] | Train |
38,768 | 24 | Title: Improving novelty detection with generative adversarial networks on hand gesture data
Abstract: nan | [] | Test |
38,769 | 10 | Title: Solving Multi-Agent Target Assignment and Path Finding with a Single Constraint Tree
Abstract: Combined Target-Assignment and Path-Finding problem (TAPF) requires simultaneously assigning targets to agents and planning collision-free paths for agents from their start locations to their assigned targets. As a lea... | [] | Test |
38,770 | 30 | Title: EriBERTa: A Bilingual Pre-Trained Language Model for Clinical Natural Language Processing
Abstract: The utilization of clinical reports for various secondary purposes, including health research and treatment monitoring, is crucial for enhancing patient care. Natural Language Processing (NLP) tools have emerged a... | [] | Validation |
38,771 | 4 | Title: System on Chip Rejuvenation in the Wake of Persistent Attacks
Abstract: To cope with the ever increasing threats of dynamic and adaptive persistent attacks, Fault and Intrusion Tolerance (FIT) is being studied at the hardware level to increase critical systems resilience. Based on state-machine replication, FIT ... | [
20649,
34174
] | Train |
38,772 | 16 | Title: Toward more frugal models for functional cerebral networks automatic recognition with resting-state fMRI
Abstract: We refer to a machine learning situation where models based on classical convolutional neural networks have shown good performance. We are investigating different encoding techniques in the form of ... | [] | Train |
38,773 | 16 | Title: MoSFPAD: An end-to-end Ensemble of MobileNet and Support Vector Classifier for Fingerprint Presentation Attack Detection
Abstract: Automatic fingerprint recognition systems are the most extensively used systems for person authentication although they are vulnerable to Presentation attacks. Artificial artifacts c... | [
1549
] | Validation |
38,774 | 30 | Title: Text Classification of Cancer Clinical Trial Eligibility Criteria
Abstract: Automatic identification of clinical trials for which a patient is eligible is complicated by the fact that trial eligibility is stated in natural language. A potential solution to this problem is to employ text classification methods fo... | [] | Test |
38,775 | 4 | Title: What can we learn from Data Leakage and Unlearning for Law?
Abstract: Large Language Models (LLMs) have a privacy concern because they memorize training data (including personally identifiable information (PII) like emails and phone numbers) and leak it during inference. A company can train an LLM on its domain-... | [
19642,
18758
] | Test |
38,776 | 15 | Title: Word-Level Structure Identification In FPGA Designs Using Cell Proximity Information
Abstract: Reverse engineering of FPGA based designs from the flattened LUT level netlist to high level RTL helps in verification of the design or in understanding legacy designs. We focus on flattened netlists for FPGA devices f... | [] | Validation |
38,777 | 24 | Title: BOF-UCB: A Bayesian-Optimistic Frequentist Algorithm for Non-Stationary Contextual Bandits
Abstract: We propose a novel Bayesian-Optimistic Frequentist Upper Confidence Bound (BOF-UCB) algorithm for stochastic contextual linear bandits in non-stationary environments. This unique combination of Bayesian and frequ... | [
33154
] | Test |
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