node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
24,078 | 5 | Title: Performance Evaluation of a Next-Generation SX-Aurora TSUBASA Vector Supercomputer
Abstract: Data movement is a key bottleneck in terms of both performance and energy efficiency in modern HPC systems. The NEC SX-series supercomputers have a long history of accelerating memory-intensive HPC applications by provid... | [
20627
] | Validation |
24,079 | 5 | Title: STaKTAU: profiling HPC applications' operating system usage
Abstract: This paper presents a approach for measuring the time spent by HPC applications in the operating system's kernel. We use the SystemTap interface to insert timers before and after system calls, and take advantage of its stability to design a to... | [] | Train |
24,080 | 24 | Title: Federated Learning of Causal Effects from Incomplete Observational Data
Abstract: Decentralized and incomplete data sources are prevalent in real-world applications, posing a formidable challenge for causal inference. These sources cannot be consolidated into a single entity owing to privacy constraints, and the... | [
24897
] | Train |
24,081 | 6 | Title: Help or Hinder? Evaluating the Impact of Fairness Metrics and Algorithms in Visualizations for Consensus Ranking
Abstract: For applications where multiple stakeholders provide recommendations, a fair consensus ranking must not only ensure that the preferences of rankers are well represented, but must also mitiga... | [] | Test |
24,082 | 23 | Title: Documentation Practices in Agile Software Development: A Systematic Literature Review
Abstract: Context: Agile development methodologies in the software industry have increased significantly over the past decade. Although one of the main aspects of agile software development (ASD) is less documentation, there ha... | [] | Test |
24,083 | 16 | Title: Reliable Evaluation of Adversarial Transferability
Abstract: Adversarial examples (AEs) with small adversarial perturbations can mislead deep neural networks (DNNs) into wrong predictions. The AEs created on one DNN can also fool another DNN. Over the last few years, the transferability of AEs has garnered signi... | [
28729,
4052,
26845
] | Train |
24,084 | 38 | Title: Computational Dating for the Nuzi Cuneiform Archive: The Least Squares Constrained by Family Trees and Synchronisms
Abstract: We introduce a computational method of dating for an archive in ancient Mesopotamia. We use the name index Nuzi Personal Names (NPN) published in 1943. We made an electronic version of NP... | [] | Validation |
24,085 | 30 | Title: Towards Bridging the Digital Language Divide
Abstract: It is a well-known fact that current AI-based language technology -- language models, machine translation systems, multilingual dictionaries and corpora -- focuses on the world's 2-3% most widely spoken languages. Recent research efforts have attempted to ex... | [
39409,
5575
] | Train |
24,086 | 23 | Title: What Makes a Code Review Useful to OpenDev Developers? An Empirical Investigation
Abstract: Context: Due to the association of significant efforts, even a minor improvement in the effectiveness of Code Reviews(CR) can incur significant savings for a software development organization. Aim: This study aims to deve... | [
22642,
19022
] | Train |
24,087 | 24 | Title: Data-Juicer: A One-Stop Data Processing System for Large Language Models
Abstract: The immense evolution in Large Language Models (LLMs) has underscored the importance of massive, diverse, and high-quality data. Despite this, existing open-source tools for LLM data processing remain limited and mostly tailored t... | [
40192,
13700,
22148,
8200,
7695,
5522,
39451,
8608,
32944,
25021,
29375,
32450,
13510,
8903,
23885,
36179,
31189,
31194,
23898,
31837,
13665,
109,
31218,
24308
] | Train |
24,088 | 24 | Title: From Graph Generation to Graph Classification
Abstract: This note describes a new approach to classifying graphs that leverages graph generative models (GGM). Assuming a GGM that defines a joint probability distribution over graphs and their class labels, I derive classification formulas for the probability of a... | [] | Train |
24,089 | 27 | Title: Clothoid Curve-based Emergency-Stopping Path Planning with Adaptive Potential Field for Autonomous Vehicles
Abstract: The Potential Field (PF)-based path planning method is widely adopted for autonomous vehicles (AVs) due to its real-time efficiency and simplicity. PF often creates a rigid road boundary, and whi... | [] | Train |
24,090 | 28 | Title: Exploring the Enablers of Digital Transformation in Small and Medium-Sized Enterprise
Abstract: Recently, digital transformation has caught much attention of both academics and practitioners. With the advent of digital technologies, small-and-medium-sized enterprises (SMEs) have obtained the capacity to initiate... | [] | Train |
24,091 | 24 | Title: Strengthening structural baselines for graph classification using Local Topological Profile
Abstract: We present the analysis of the topological graph descriptor Local Degree Profile (LDP), which forms a widely used structural baseline for graph classification. Our study focuses on model evaluation in the contex... | [] | Validation |
24,092 | 4 | Title: Designing a Security System Administration Course for Cybersecurity with a Companion Project
Abstract: In the past few years, an incident response-oriented cybersecurity program has been constructed at University of Central Oklahoma. As a core course in the newly-established curricula, Secure System Administrati... | [] | Train |
24,093 | 38 | Title: A Responsive Framework for Research Portals Data using Semantic Web Technology
Abstract: As the amount of data on the World Wide Web continues to grow exponentially, access to semantically structured information remains limited. The Semantic Web has emerged as a solution to enhance the machine-readability of dat... | [
18250
] | Train |
24,094 | 30 | Title: Validation of a Zero-Shot Learning Natural Language Processing Tool for Data Abstraction from Unstructured Healthcare Data
Abstract: Objectives: To describe the development and validation of a zero-shot learning natural language processing (NLP) tool for abstracting data from unstructured text contained within P... | [
43566
] | Train |
24,095 | 4 | Title: A Homomorphic Encryption Framework for Privacy-Preserving Spiking Neural Networks
Abstract: Machine learning (ML) is widely used today, especially through deep neural networks (DNNs), however, increasing computational load and resource requirements have led to cloud-based solutions. To address this problem, a ne... | [] | Train |
24,096 | 30 | Title: Generation-driven Contrastive Self-training for Zero-shot Text Classification with Instruction-tuned GPT
Abstract: Moreover, GPT-based zero-shot classification models tend to make independent predictions over test instances, which can be sub-optimal as the instance correlations and the decision boundaries in the... | [
41066,
13700,
38551
] | Train |
24,097 | 23 | Title: RICK: Generating Mocks from Production Data
Abstract: Test doubles, such as mocks and stubs, are nifty fixtures in unit tests. They allow developers to test individual components in isolation from others that lie within or outside of the system. However, implementing test doubles within tests is not straightforw... | [] | Train |
24,098 | 6 | Title: Serious Games: An Updated Systematic Literature Review
Abstract: Serious games are simulation software designed to assist people in learning the practical concepts of various application fields such as Health, wellness, Education and Culture. People improve their individual knowledge, skills and attitude through... | [] | Train |
24,099 | 30 | Title: STREET: A Multi-Task Structured Reasoning and Explanation Benchmark
Abstract: We introduce STREET, a unified multi-task and multi-domain natural language reasoning and explanation benchmark. Unlike most existing question-answering (QA) datasets, we expect models to not only answer questions, but also produce ste... | [
10864,
43298,
37411,
33511
] | Train |
24,100 | 24 | Title: Adjustable Privacy using Autoencoder-based Learning Structure
Abstract: Inference centers need more data to have a more comprehensive and beneficial learning model, and for this purpose, they need to collect data from data providers. On the other hand, data providers are cautious about delivering their datasets ... | [] | Train |
24,101 | 24 | Title: How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?
Abstract: Many important computer vision applications are naturally formulated as regression problems. Within medical imaging, accurate regression models have the potential to automate various tasks, helping to lower costs ... | [] | Test |
24,102 | 24 | Title: FedAVO: Improving Communication Efficiency in Federated Learning with African Vultures Optimizer
Abstract: Federated Learning (FL), a distributed machine learning technique has recently experienced tremendous growth in popularity due to its emphasis on user data privacy. However, the distributed computations of ... | [] | Train |
24,103 | 4 | Title: On the Limits of Cross-Authentication Checks for GNSS Signals
Abstract: Global navigation satellite systems (GNSSs) are implementing security mechanisms: examples are Galileo open service navigation message authentication (OS-NMA) and GPS chips-message robust authentication (CHIMERA). Each of these mechanisms op... | [] | Test |
24,104 | 17 | Title: Simulation and Retargeting of Complex Multi-Character Interactions
Abstract: We present a method for reproducing complex multi-character interactions for physically simulated humanoid characters using deep reinforcement learning. Our method learns control policies for characters that imitate not only individual ... | [] | Train |
24,105 | 30 | Title: Physics of Language Models: Part 1, Context-Free Grammar
Abstract: We design experiments to study $\textit{how}$ generative language models, like GPT, learn context-free grammars (CFGs) -- diverse language systems with a tree-like structure capturing many aspects of natural languages, programs, and human logics.... | [
13510,
29612,
2668,
17517,
22103
] | Train |
24,106 | 24 | Title: An Improved Uniform Convergence Bound with Fat-Shattering Dimension
Abstract: The fat-shattering dimension characterizes the uniform convergence property of real-valued functions. The state-of-the-art upper bounds feature a multiplicative squared logarithmic factor on the sample complexity, leaving an open gap w... | [
25328
] | Validation |
24,107 | 6 | Title: Modeling the Dashboard Provenance
Abstract: Organizations of all kinds, whether public or private, profit-driven or non-profit, and across various industries and sectors, rely on dashboards for effective data visualization. However, the reliability and efficacy of these dashboards rely on the quality of the visu... | [] | Train |
24,108 | 16 | Title: 1st Place Solution for PVUW Challenge 2023: Video Panoptic Segmentation
Abstract: In order to deal with the task of video panoptic segmentation in the wild, we propose a robust integrated video panoptic segmentation solution. In our solution, we regard the video panoptic segmentation task as a segmentation targe... | [
39737,
22562,
34955,
9622
] | Test |
24,109 | 27 | Title: Bioinspired Soft Spiral Robots for Versatile Grasping and Manipulation
Abstract: Across various species and different scales, certain organisms use their appendages to grasp objects not through clamping but through wrapping. This pattern of movement is found in octopus tentacles, elephant trunks, and chameleon p... | [] | Train |
24,110 | 30 | Title: Towards Zero-Shot Frame Semantic Parsing with Task Agnostic Ontologies and Simple Labels
Abstract: Frame semantic parsing is an important component of task-oriented dialogue systems. Current models rely on a significant amount training data to successfully identify the intent and slots in the user's input uttera... | [] | Validation |
24,111 | 30 | Title: SciMRC: Multi-perspective Scientific Machine Reading Comprehension
Abstract: Scientific machine reading comprehension (SMRC) aims to understand scientific texts through interactions with humans by given questions. As far as we know, there is only one dataset focused on exploring full-text scientific machine read... | [] | Train |
24,112 | 16 | Title: Unsupervised Prototype Adapter for Vision-Language Models
Abstract: Recently, large-scale pre-trained vision-language models (e.g. CLIP and ALIGN) have demonstrated remarkable effectiveness in acquiring transferable visual representations. To leverage the valuable knowledge encoded within these models for downst... | [
31737,
20562,
4275
] | Test |
24,113 | 30 | Title: MAC: A unified framework boosting low resource automatic speech recognition
Abstract: We propose a unified framework for low resource automatic speech recognition tasks named meta audio concatenation (MAC). It is easy to implement and can be carried out in extremely low resource environments. Mathematically, we ... | [] | Train |
24,114 | 16 | Title: Patch-DrosoNet: Classifying Image Partitions With Fly-Inspired Models For Lightweight Visual Place Recognition
Abstract: Visual place recognition (VPR) enables autonomous systems to localize themselves within an environment using image information. While Convolution Neural Networks (CNNs) currently dominate stat... | [] | Train |
24,115 | 16 | Title: Cross-View Hierarchy Network for Stereo Image Super-Resolution
Abstract: Stereo image super-resolution aims to improve the quality of high-resolution stereo image pairs by exploiting complementary information across views. To attain superior performance, many methods have prioritized designing complex modules to... | [
12314,
39628
] | Train |
24,116 | 16 | Title: Dynamic Background Reconstruction via MAE for Infrared Small Target Detection
Abstract: Infrared small target detection (ISTD) under complex backgrounds is a difficult problem, for the differences between targets and backgrounds are not easy to distinguish. Background reconstruction is one of the methods to deal... | [] | Train |
24,117 | 16 | Title: Uncertainty Guided Adaptive Warping for Robust and Efficient Stereo Matching
Abstract: Correlation based stereo matching has achieved outstanding performance, which pursues cost volume between two feature maps. Unfortunately, current methods with a fixed model do not work uniformly well across various datasets, ... | [] | Train |
24,118 | 16 | Title: Combo of Thinking and Observing for Outside-Knowledge VQA
Abstract: Outside-knowledge visual question answering is a challenging task that requires both the acquisition and the use of open-ended real-world knowledge. Some existing solutions draw external knowledge into the cross-modality space which overlooks th... | [
39823
] | Train |
24,119 | 27 | Title: PoseFusion: Robust Object-in-Hand Pose Estimation with SelectLSTM
Abstract: Accurate estimation of the relative pose between an object and a robot hand is critical for many manipulation tasks. However, most of the existing object-in-hand pose datasets use two-finger grippers and also assume that the object remai... | [] | Train |
24,120 | 24 | Title: Physics-Informed Boundary Integral Networks (PIBI-Nets): A Data-Driven Approach for Solving Partial Differential Equations
Abstract: Partial differential equations (PDEs) can describe many relevant phenomena in dynamical systems. In real-world applications, we commonly need to combine formal PDE models with (pot... | [] | Train |
24,121 | 24 | Title: CLIPood: Generalizing CLIP to Out-of-Distributions
Abstract: Out-of-distribution (OOD) generalization, where the model needs to handle distribution shifts from training, is a major challenge of machine learning. Contrastive language-image pre-training (CLIP) models have shown impressive zero-shot ability, but th... | [
2530
] | Validation |
24,122 | 24 | Title: Guiding The Last Layer in Federated Learning with Pre-Trained Models
Abstract: Federated Learning (FL) is an emerging paradigm that allows a model to be trained across a number of participants without sharing data. Recent works have begun to consider the effects of using pre-trained models as an initialization p... | [
30550
] | Train |
24,123 | 16 | Title: Concavity-Induced Distance for Unoriented Point Cloud Decomposition
Abstract: We propose Concavity-induced Distance (CID) as a novel way to measure the dissimilarity between a pair of points in an unoriented point cloud. CID indicates the likelihood of two points or two sets of points belonging to different conv... | [] | Validation |
24,124 | 24 | Title: Large language models converge toward human-like concept organization
Abstract: Large language models show human-like performance in knowledge extraction, reasoning and dialogue, but it remains controversial whether this performance is best explained by memorization and pattern matching, or whether it reflects h... | [
15454,
29375
] | Train |
24,125 | 30 | Title: Measuring Catastrophic Forgetting in Cross-Lingual Transfer Paradigms: Exploring Tuning Strategies
Abstract: The cross-lingual transfer is a promising technique to solve tasks in less-resourced languages. In this empirical study, we compare two fine-tuning approaches combined with zero-shot and full-shot learnin... | [] | Train |
24,126 | 16 | Title: Double-chain Constraints for 3D Human Pose Estimation in Images and Videos
Abstract: Reconstructing 3D poses from 2D poses lacking depth information is particularly challenging due to the complexity and diversity of human motion. The key is to effectively model the spatial constraints between joints to leverage ... | [
29049,
8002,
33283
] | Train |
24,127 | 2 | Title: Towards a Certified Proof Checker for Deep Neural Network Verification
Abstract: Recent developments in deep neural networks (DNNs) have led to their adoption in safety-critical systems, which in turn has heightened the need for guaranteeing their safety. These safety properties of DNNs can be proven using tools... | [] | Test |
24,128 | 16 | Title: Robust Human Identity Anonymization using Pose Estimation
Abstract: Many outdoor autonomous mobile platforms require more human identity anonymized data to power their data-driven algorithms. The human identity anonymization should be robust so that less manual intervention is needed, which remains a challenge f... | [] | Train |
24,129 | 6 | Title: Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations
Abstract: AI explanations are often mentioned as a way to improve human-AI decision-making, but empirical studies have not found consistent evidence of explanations' effectiveness and, on the contrary, suggest tha... | [
29696,
28802,
37636,
8650,
3276,
6544,
10516,
16439,
10621,
13918
] | Train |
24,130 | 24 | Title: Joint action loss for proximal policy optimization
Abstract: PPO (Proximal Policy Optimization) is a state-of-the-art policy gradient algorithm that has been successfully applied to complex computer games such as Dota 2 and Honor of Kings. In these environments, an agent makes compound actions consisting of mult... | [] | Train |
24,131 | 16 | Title: Look at the Neighbor: Distortion-aware Unsupervised Domain Adaptation for Panoramic Semantic Segmentation
Abstract: Endeavors have been recently made to transfer knowledge from the labeled pinhole image domain to the unlabeled panoramic image domain via Unsupervised Domain Adaptation (UDA). The aim is to tackle ... | [
20777
] | Train |
24,132 | 28 | Title: On the Energy-Efficiency Trade-off Between Active and Passive Communications with RIS-based Symbiotic Radio
Abstract: Symbiotic radio (SR) is a promising technology of spectrum- and energy-efficient wireless systems, for which the key idea is to use cognitive backscattering communication to achieve mutualistic s... | [] | Test |
24,133 | 6 | Title: DeepSeer: Interactive RNN Explanation and Debugging via State Abstraction
Abstract: Recurrent Neural Networks (RNNs) have been widely used in Natural Language Processing (NLP) tasks given its superior performance on processing sequential data. However, it is challenging to interpret and debug RNNs due to the inh... | [] | Train |
24,134 | 30 | Title: Explaining How Transformers Use Context to Build Predictions
Abstract: Language Generation Models produce words based on the previous context. Although existing methods offer input attributions as explanations for a model’s prediction, it is still unclear how prior words affect the model’s decision throughout th... | [
45275,
40719,
40691,
33365,
30331
] | Train |
24,135 | 16 | Title: DiffECG: A Generalized Probabilistic Diffusion Model for ECG Signals Synthesis
Abstract: In recent years, deep generative models have gained attention as a promising data augmentation solution for heart disease detection using deep learning approaches applied to ECG signals. In this paper, we introduce a novel a... | [
1603,
37428
] | Test |
24,136 | 16 | Title: Training Ensembles with Inliers and Outliers for Semi-supervised Active Learning
Abstract: Deep active learning in the presence of outlier examples poses a realistic yet challenging scenario. Acquiring unlabeled data for annotation requires a delicate balance between avoiding outliers to conserve the annotation ... | [
14521
] | Test |
24,137 | 16 | Title: Video-FocalNets: Spatio-Temporal Focal Modulation for Video Action Recognition
Abstract: Recent video recognition models utilize Transformer models for long-range spatio-temporal context modeling. Video transformer designs are based on self-attention that can model global context at a high computational cost. In... | [] | Train |
24,138 | 16 | Title: Avatar Fingerprinting for Authorized Use of Synthetic Talking-Head Videos
Abstract: Modern generators render talking-head videos with impressive photorealism, ushering in new user experiences such as videoconferencing under constrained bandwidth budgets. Their safe adoption, however, requires a mechanism to veri... | [
1540
] | Test |
24,139 | 24 | Title: Emerging Synergies in Causality and Deep Generative Models: A Survey
Abstract: In the field of artificial intelligence (AI), the quest to understand and model data-generating processes (DGPs) is of paramount importance. Deep generative models (DGMs) have proven adept in capturing complex data distributions but o... | [
40192,
33220,
13700,
20551,
25675,
7628,
6061,
41611,
12015,
6962,
7091,
31794,
3992,
4251,
8732
] | Train |
24,140 | 16 | Title: DoUnseen: Zero-Shot Object Detection for Robotic Grasping
Abstract: How can we segment varying numbers of objects where each specific object represents its own separate class? To make the problem even more realistic, how can we add and delete classes on the fly without retraining? This is the case of robotic app... | [
13270
] | Train |
24,141 | 31 | Title: GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation
Abstract: Recent advancements in Natural Language Processing (NLP) have led to the development of NLP-based recommender systems that have shown superior performance. However, current models commonly treat items as m... | [
4610,
28583,
33800,
1611,
30764,
24077,
10676,
10069,
23286,
3352,
9917,
19967
] | Train |
24,142 | 1 | Title: Cross-domain Food Image-to-Recipe Retrieval by Weighted Adversarial Learning
Abstract: Food image-to-recipe aims to learn an embedded space linking the rich semantics in recipes with the visual content in food image for cross-modal retrieval. The existing research works carry out the learning of such space by as... | [] | Train |
24,143 | 16 | Title: Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability
Abstract: Neural networks are known to be susceptible to adversarial samples: small variations of natural examples crafted to deliberately mislead the models. While they can be easily generated using gradient-based techni... | [
1905,
44484,
8308,
3694
] | Train |
24,144 | 10 | Title: Exploring ChatGPT's Empathic Abilities
Abstract: Empathy is often understood as the ability to share and understand another individual's state of mind or emotion. With the increasing use of chatbots in various domains, e.g., children seeking help with homework, individuals looking for medical advice, and people ... | [
3050
] | Train |
24,145 | 34 | Title: Constant-Competitiveness for Random Assignment Matroid Secretary Without Knowing the Matroid
Abstract: The Matroid Secretary Conjecture is a notorious open problem in online optimization. It claims the existence of an $O(1)$-competitive algorithm for the Matroid Secretary Problem (MSP). Here, the elements of a w... | [] | Train |
24,146 | 24 | Title: Combining Variational Autoencoders and Physical Bias for Improved Microscopy Data Analysis
Abstract:
Electron and scanning probe microscopy produce vast amounts of data in the form of images or hyperspectral data, such as Electron Energy Loss Spectroscopy (EELS) or 4D Scanning Transmission Electron Microscope ... | [] | Test |
24,147 | 16 | Title: SMAE: Few-shot Learning for HDR Deghosting with Saturation-Aware Masked Autoencoders
Abstract: Generating a high-quality High Dynamic Range (HDR) image from dynamic scenes has recently been extensively studied by exploiting Deep Neural Networks (DNNs). Most DNNs-based methods require a large amount of training d... | [] | Train |
24,148 | 4 | Title: A Hybrid Blockchain-Edge Architecture for Electronic Health Record Management With Attribute-Based Cryptographic Mechanisms
Abstract: This paper presents a hybrid blockchain-edge architecture for managing Electronic Health Records (EHRs) with attribute-based cryptographic mechanisms. The architecture introduces ... | [
14075,
21607
] | Train |
24,149 | 24 | Title: Boosting Federated Learning Convergence with Prototype Regularization
Abstract: As a distributed machine learning technique, federated learning (FL) requires clients to collaboratively train a shared model with an edge server without leaking their local data. However, the heterogeneous data distribution among cl... | [
27232,
3782,
1899,
18253,
25368,
16728
] | Train |
24,150 | 30 | Title: Investigating the Translation Performance of a Large Multilingual Language Model: the Case of BLOOM
Abstract: The NLP community recently saw the release of a new large open-access multilingual language model, BLOOM (BigScience et al., 2022) covering 46 languages. We focus on BLOOM’s multilingual ability by evalu... | [
14368,
4899,
42083,
16389,
31493,
32744,
27340,
38102,
44727,
23898,
8571
] | Test |
24,151 | 30 | Title: Evaluating the Effectiveness of Natural Language Inference for Hate Speech Detection in Languages with Limited Labeled Data
Abstract: Most research on hate speech detection has focused on English where a sizeable amount of labeled training data is available. However, to expand hate speech detection into more lan... | [] | Train |
24,152 | 31 | Title: FedPDD: A Privacy-preserving Double Distillation Framework for Cross-silo Federated Recommendation
Abstract: Cross-platform recommendation aims to improve recommendation accuracy by gathering heterogeneous features from different platforms. However, such cross-silo collaborations between platforms are restricted... | [] | Test |
24,153 | 24 | Title: DoMo-AC: Doubly Multi-step Off-policy Actor-Critic Algorithm
Abstract: Multi-step learning applies lookahead over multiple time steps and has proved valuable in policy evaluation settings. However, in the optimal control case, the impact of multi-step learning has been relatively limited despite a number of prio... | [] | Test |
24,154 | 24 | Title: Using Multiple Vector Channels Improves E(n)-Equivariant Graph Neural Networks
Abstract: We present a natural extension to E(n)-equivariant graph neural networks that uses multiple equivariant vectors per node. We formulate the extension and show that it improves performance across different physical systems ben... | [] | Train |
24,155 | 27 | Title: Contingency Games for Multi-Agent Interaction
Abstract: Contingency planning, wherein an agent generates a set of possible plans conditioned on the outcome of an uncertain event, is an increasingly popular way for robots to act under uncertainty. In this work we take a game-theoretic perspective on contingency p... | [] | Train |
24,156 | 16 | Title: Sensitivity-Aware Visual Parameter-Efficient Tuning
Abstract: Visual Parameter-Efficient Fine-Tuning (PEFT) has become a powerful alternative for full fine-tuning so as to adapt pre-trained vision models to downstream tasks, which only tunes a small number of parameters while freezing the vast majority ones to e... | [
42800
] | Validation |
24,157 | 11 | Title: Inducing Stackelberg Equilibrium through Spatio-Temporal Sequential Decision-Making in Multi-Agent Reinforcement Learning
Abstract: In multi-agent reinforcement learning (MARL), self-interested agents attempt to establish equilibrium and achieve coordination depending on game structure. However, existing MARL ap... | [
9962
] | Train |
24,158 | 10 | Title: Invalid Logic, Equivalent Gains: The Bizarreness of Reasoning in Language Model Prompting
Abstract: Language models can be prompted to reason through problems in a manner that significantly improves performance. However, \textit{why} such prompting improves performance is unclear. Recent work showed that using l... | [
38338,
40610,
30423
] | Train |
24,159 | 24 | Title: FAVOR#: Sharp Attention Kernel Approximations via New Classes of Positive Random Features
Abstract: The problem of efficient approximation of a linear operator induced by the Gaussian or softmax kernel is often addressed using random features (RFs) which yield an unbiased approximation of the operator's result. ... | [] | Test |
24,160 | 31 | Title: Large-Scale Knowledge Synthesis and Complex Information Retrieval from Biomedical Documents
Abstract: Recent advances in the healthcare industry have led to an abundance of unstructured data, making it challenging to perform tasks such as efficient and accurate information retrieval at scale. Our work offers an ... | [] | Validation |
24,161 | 24 | Title: SamToNe: Improving Contrastive Loss for Dual Encoder Retrieval Models with Same Tower Negatives
Abstract: Dual encoders have been used for retrieval tasks and representation learning with good results. A standard way to train dual encoders is using a contrastive loss with in-batch negatives. In this work, we pro... | [
43060
] | Train |
24,162 | 24 | Title: Pseudonorm Approachability and Applications to Regret Minimization
Abstract: Blackwell's celebrated approachability theory provides a general framework for a variety of learning problems, including regret minimization. However, Blackwell's proof and implicit algorithm measure approachability using the $\ell_2$ (... | [] | Test |
24,163 | 24 | Title: Explainable Human-centered Traits from Head Motion and Facial Expression Dynamics
Abstract: We explore the efficacy of multimodal behavioral cues for explainable prediction of personality and interview-specific traits. We utilize elementary head-motion units named kinemes, atomic facial movements termed action u... | [] | Test |
24,164 | 6 | Title: The Landscape of User-centered Misinformation Interventions - A Systematic Literature Review
Abstract: Misinformation represent a key challenge for society. User-centered misinformation interventions as digital countermeasures that exert a direct influence on users represent a promising means to deal with the la... | [] | Train |
24,165 | 16 | Title: Sorted Convolutional Network for Achieving Continuous Rotational Invariance
Abstract: The topic of achieving rotational invariance in convolutional neural networks (CNNs) has gained considerable attention recently, as this invariance is crucial for many computer vision tasks such as image classification and matc... | [] | Train |
24,166 | 28 | Title: Performance Analysis for Polar Codes under Successive Cancellation List Decoding with Fixed List Size
Abstract: In this paper, we first indicate that the block error event of polar codes under successive cancellation list (SCL) decoding is composed of path loss (PL) error event and path selection (PS) error even... | [
1671
] | Test |
24,167 | 16 | Title: UFO: A unified method for controlling Understandability and Faithfulness Objectives in concept-based explanations for CNNs
Abstract: Concept-based explanations for convolutional neural networks (CNNs) aim to explain model behavior and outputs using a pre-defined set of semantic concepts (e.g., the model recogniz... | [] | Test |
24,168 | 16 | Title: Masked Path Modeling for Vision-and-Language Navigation
Abstract: Vision-and-language navigation (VLN) agents are trained to navigate in real-world environments by following natural language instructions. A major challenge in VLN is the limited availability of training data, which hinders the models' ability to ... | [] | Train |
24,169 | 4 | Title: CNN-Assisted Steganography - Integrating Machine Learning with Established Steganographic Techniques
Abstract: We propose a method to improve steganography by increasing the resilience of stego-media to discovery through steganalysis. Our approach enhances a class of steganographic approaches through the inclusi... | [] | Train |
24,170 | 10 | Title: Protecting Society from AI Misuse: When are Restrictions on Capabilities Warranted?
Abstract: Artificial intelligence (AI) systems will increasingly be used to cause harm as they grow more capable. In fact, AI systems are already starting to be used to automate fraudulent activities, violate human rights, create... | [
32550,
4744,
19337,
36972,
39322,
2930,
32410,
45563,
1917
] | Validation |
24,171 | 28 | Title: Data efficiency, dimensionality reduction, and the generalized symmetric information bottleneck
Abstract: The Symmetric Information Bottleneck (SIB), an extension of the more familiar Information Bottleneck, is a dimensionality reduction technique that simultaneously compresses two random variables to preserve i... | [] | Test |
24,172 | 16 | Title: VL-SAT: Visual-Linguistic Semantics Assisted Training for 3D Semantic Scene Graph Prediction in Point Cloud
Abstract: The task of 3D semantic scene graph (3D SSG) prediction in the point cloud is challenging since (1) the 3D point cloud only captures geometric structures with limited semantics compared to 2D ima... | [
41730
] | Train |
24,173 | 25 | Title: Diff-Foley: Synchronized Video-to-Audio Synthesis with Latent Diffusion Models
Abstract: The Video-to-Audio (V2A) model has recently gained attention for its practical application in generating audio directly from silent videos, particularly in video/film production. However, previous methods in V2A have limited... | [
42272,
4481
] | Train |
24,174 | 24 | Title: Hypergraphs with Edge-Dependent Vertex Weights: Spectral Clustering Based on the 1-Laplacian
Abstract: We propose a flexible framework for defining the 1-Laplacian of a hypergraph that incorporates edge-dependent vertex weights. These weights are able to reflect varying importance of vertices within a hyperedge,... | [] | Train |
24,175 | 2 | Title: Formal Modelling and Analysis of a Self-Adaptive Robotic System
Abstract: Self-adaptation is a crucial feature of autonomous systems that must cope with uncertainties in, e.g., their environment and their internal state. Self-adaptive systems are often modelled as two-layered systems with a managed subsystem han... | [] | Train |
24,176 | 27 | Title: Optimal Cost-Preference Trade-off Planning with Multiple Temporal Tasks
Abstract: Autonomous robots are increasingly utilized in realistic scenarios with multiple complex tasks. In these scenarios, there may be a preferred way of completing all of the given tasks, but it is often in conflict with optimal executi... | [] | Train |
24,177 | 16 | Title: Aligning Bird-Eye View Representation of Point Cloud Sequences using Scene Flow
Abstract: Low-resolution point clouds are challenging for object detection methods due to their sparsity. Densifying the present point cloud by concatenating it with its predecessors is a popular solution to this challenge. Such conc... | [
5606
] | Validation |
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