node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
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|---|---|---|---|---|
23,078 | 30 | Title: Bridging Natural Language Processing and Psycholinguistics: computationally grounded semantic similarity datasets for Basque and Spanish
Abstract: We present a computationally-grounded word similarity dataset based on two well-known Natural Language Processing resources; text corpora and knowledge bases. This da... | [] | Validation |
23,079 | 24 | Title: Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference
Abstract: Understanding the gradient variance of black-box variational inference (BBVI) is a crucial step for establishing its convergence and developing algorithmic improvements. However, existing studies have yet to sh... | [
27348
] | Train |
23,080 | 25 | Title: Spatial Reconstructed Local Attention Res2Net with F0 Subband for Fake Speech Detection
Abstract: The rhythm of synthetic speech is usually too smooth, which causes that the fundamental frequency (F0) of synthetic speech is significantly different from that of real speech. It is expected that the F0 feature cont... | [
21813
] | Train |
23,081 | 26 | Title: Proof of principle for a self-governing prediction and forecasting reward algorithm
Abstract: We use Monte Carlo techniques to simulate an organized prediction competition between a group of a scientific experts acting under the influence of a ``self-governing'' prediction reward algorithm. Our aim is to illustr... | [] | Validation |
23,082 | 16 | Title: MECPformer: Multi-estimations Complementary Patch with CNN-Transformers for Weakly Supervised Semantic Segmentation
Abstract: The initial seed based on the convolutional neural network (CNN) for weakly supervised semantic segmentation always highlights the most discriminative regions but fails to identify the gl... | [] | Train |
23,083 | 30 | Title: BASS: Block-wise Adaptation for Speech Summarization
Abstract: End-to-end speech summarization has been shown to improve performance over cascade baselines. However, such models are difficult to train on very large inputs (dozens of minutes or hours) owing to compute restrictions and are hence trained with trunc... | [
2111
] | Train |
23,084 | 24 | Title: A Study of Variable-Role-based Feature Enrichment in Neural Models of Code
Abstract: Although deep neural models substantially reduce the overhead of feature engineering, the features readily available in the inputs might significantly impact training cost and the performance of the models. In this paper, we exp... | [
21068
] | Train |
23,085 | 24 | Title: Can Transformers Learn to Solve Problems Recursively?
Abstract: Neural networks have in recent years shown promise for helping software engineers write programs and even formally verify them. While semantic information plays a crucial part in these processes, it remains unclear to what degree popular neural arch... | [
32450,
7758,
38834,
4434,
25522,
14869
] | Train |
23,086 | 24 | Title: An End-to-End Framework for Marketing Effectiveness Optimization under Budget Constraint
Abstract: Online platforms often incentivize consumers to improve user engagement and platform revenue. Since different consumers might respond differently to incentives, individual-level budget allocation is an essential ta... | [
9261,
5037
] | Train |
23,087 | 6 | Title: GeoGraphViz: Geographically constrained 3D force‐directed graph for knowledge graph visualization
Abstract: Knowledge graphs are a key technique for linking and integrating cross‐domain data, concepts, tools, and knowledge to enable data‐driven analytics. As much of the world's data have become massive in size, ... | [] | Train |
23,088 | 31 | Title: Effective Visualization and Analysis of Recommender Systems
Abstract: Recommender system exists everywhere in the business world. From Goodreads to TikTok, customers of internet products become more addicted to the products thanks to the technology. Industrial practitioners focus on increasing the technical accu... | [
32826
] | Test |
23,089 | 16 | Title: Cross Modal Transformer: Towards Fast and Robust 3D Object Detection
Abstract: In this paper, we propose a robust 3D detector, named Cross Modal Transformer (CMT), for end-to-end 3D multi-modal detection. Without explicit view transformation, CMT takes the image and point clouds tokens as inputs and directly out... | [
18283,
40571,
45087
] | Train |
23,090 | 24 | Title: Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts
Abstract: Graph classification, aiming at learning the graph-level representations for effective class assignments, has received outstanding achievements, which heavily relies on high-quality datasets that have balanced class dist... | [
42511,
23377,
14489,
25561,
41693
] | Train |
23,091 | 16 | Title: MAD: Modality Agnostic Distance Measure for Image Registration
Abstract: Multi-modal image registration is a crucial pre-processing step in many medical applications. However, it is a challenging task due to the complex intensity relationships between different imaging modalities, which can result in large discr... | [] | Train |
23,092 | 16 | Title: SAM-PARSER: Fine-tuning SAM Efficiently by Parameter Space Reconstruction
Abstract: Segment Anything Model (SAM) has received remarkable attention as it offers a powerful and versatile solution for object segmentation in images. However, fine-tuning SAM for downstream segmentation tasks under different scenarios... | [
17633,
19907,
42599,
41008,
242,
38066,
22424,
2874,
24763
] | Validation |
23,093 | 34 | Title: Finding a Small Vertex Cut on Distributed Networks
Abstract: We present an algorithm for distributed networks to efficiently find a small vertex cut in the CONGEST model. Given a positive integer κ, our algorithm can, with high probability, either find κ vertices whose removal disconnects the network or return t... | [] | Train |
23,094 | 30 | Title: A semantically enhanced dual encoder for aspect sentiment triplet extraction
Abstract: Aspect sentiment triplet extraction (ASTE) is a crucial subtask of aspect-based sentiment analysis (ABSA) that aims to comprehensively identify sentiment triplets. Previous research has focused on enhancing ASTE through innova... | [] | Validation |
23,095 | 37 | Title: LOUC: Leave-One-Out-Calibration Measure for Analyzing Human Matcher Performance
Abstract: Schema matching is a core data integration task, focusing on identifying correspondences among attributes of multiple schemata. Numerous algorithmic approaches were suggested for schema matching over the years, aiming at so... | [] | Validation |
23,096 | 24 | Title: Towards Sustainable Learning: Coresets for Data-efficient Deep Learning
Abstract: To improve the efficiency and sustainability of learning deep models, we propose CREST, the first scalable framework with rigorous theoretical guarantees to identify the most valuable examples for training non-convex models, partic... | [] | Train |
23,097 | 16 | Title: Depth self-supervision for single image novel view synthesis
Abstract: In this paper, we tackle the problem of generating a novel image from an arbitrary viewpoint given a single frame as input. While existing methods operating in this setup aim at predicting the target view depth map to guide the synthesis, wit... | [] | Validation |
23,098 | 24 | Title: Multi-Target Multiplicity: Flexibility and Fairness in Target Specification under Resource Constraints
Abstract: Prediction models have been widely adopted as the basis for decision-making in domains as diverse as employment, education, lending, and health. Yet, few real world problems readily present themselves... | [] | Test |
23,099 | 31 | Title: Knowledge-aware Collaborative Filtering with Pre-trained Language Model for Personalized Review-based Rating Prediction
Abstract: Personalized review-based rating prediction aims at leveraging existing reviews to model user interests and item characteristics for rating prediction. Most of the existing studies ma... | [] | Train |
23,100 | 27 | Title: Transforming a Quadruped into a Guide Robot for the Visually Impaired: Formalizing Wayfinding, Interaction Modeling, and Safety Mechanism
Abstract: This paper explores the principles for transforming a quadrupedal robot into a guide robot for individuals with visual impairments. A guide robot has great potential... | [
3891
] | Test |
23,101 | 38 | Title: Author-Unification: Name-, Institution-, and Career-Sharing Co-authors
Abstract: In this work, we investigate the phenomenon of Author-UnificAtion (AUA), which describes the high structural similarity of two co-authoring engineers that share the same forename, surname, institution, and academic career without be... | [] | Test |
23,102 | 16 | Title: Mitigate Replication and Copying in Diffusion Models with Generalized Caption and Dual Fusion Enhancement
Abstract: While diffusion models demonstrate a remarkable capability for generating high-quality images, their tendency to `replicate' training data raises privacy concerns. Although recent research suggests... | [
14592,
2980,
549,
33220,
29612,
23629,
18767,
43641,
34074
] | Train |
23,103 | 16 | Title: Actional Atomic-Concept Learning for Demystifying Vision-Language Navigation
Abstract: Vision-Language Navigation (VLN) is a challenging task which requires an agent to align complex visual observations to language instructions to reach the goal position. Most existing VLN agents directly learn to align the raw ... | [] | Train |
23,104 | 16 | Title: CueCAn: Cue-driven Contextual Attention for Identifying Missing Traffic Signs on Unconstrained Roads
Abstract: Unconstrained Asian roads often involve poor infrastructure, affecting overall road safety. Missing traffic signs are a regular part of such roads. Missing or non-existing object detection has been stud... | [] | Validation |
23,105 | 2 | Title: Generalized Weighted Type Graphs for Termination of Graph Transformation Systems
Abstract: We refine a technique by Bruggink et al. that uses weighted type graphs for proving termination of double pushout (DPO) graph transformation systems. We increase the power of the approach for graphs, we generalize the tech... | [
28919
] | Train |
23,106 | 3 | Title: A new perspective on the prediction of the innovation performance: A data driven methodology to identify innovation indicators through a comparative study of Boston's neighborhoods
Abstract: In an era of knowledge-based economy, commercialized research and globalized competition for talent, the creation of innov... | [] | Validation |
23,107 | 30 | Title: TensorGPT: Efficient Compression of the Embedding Layer in LLMs based on the Tensor-Train Decomposition
Abstract: High-dimensional token embeddings underpin Large Language Models (LLMs), as they can capture subtle semantic information and significantly enhance the modelling of complex language patterns. However,... | [
6979,
28606
] | Validation |
23,108 | 27 | Title: Grasp Transfer Based on Self-Aligning Implicit Representations of Local Surfaces
Abstract: Objects we interact with and manipulate often share similar parts, such as handles, that allow us to transfer our actions flexibly due to their shared functionality. This work addresses the problem of transferring a grasp ... | [] | Train |
23,109 | 16 | Title: 3D Implicit Transporter for Temporally Consistent Keypoint Discovery
Abstract: Keypoint-based representation has proven advantageous in various visual and robotic tasks. However, the existing 2D and 3D methods for detecting keypoints mainly rely on geometric consistency to achieve spatial alignment, neglecting t... | [
13387
] | Train |
23,110 | 1 | Title: Text-oriented Modality Reinforcement Network for Multimodal Sentiment Analysis from Unaligned Multimodal Sequences
Abstract: Multimodal Sentiment Analysis (MSA) aims to mine sentiment information from text, visual, and acoustic modalities. Previous works have focused on representation learning and feature fusion... | [
19871
] | Validation |
23,111 | 24 | Title: Setting the Right Expectations: Algorithmic Recourse Over Time
Abstract: Algorithmic systems are often called upon to assist in high-stakes decision making. In light of this, algorithmic recourse, the principle wherein individuals should be able to take action against an undesirable outcome made by an algorithmi... | [
30800,
45523
] | Validation |
23,112 | 27 | Title: Toward optimal placement of spatial sensors
Abstract: This paper addresses the challenges of optimally placing a finite number of sensors to detect Poisson-distributed targets in a bounded domain. We seek to rigorously account for uncertainty in the target arrival model throughout the problem. Sensor locations a... | [] | Train |
23,113 | 24 | Title: Efficient Activation Function Optimization through Surrogate Modeling
Abstract: Carefully designed activation functions can improve the performance of neural networks in many machine learning tasks. However, it is difficult for humans to construct optimal activation functions, and current activation function sea... | [] | Train |
23,114 | 16 | Title: Situated Cameras, Situated Knowledges: Towards an Egocentric Epistemology for Computer Vision
Abstract: In her influential 1988 paper, Situated Knowledges, Donna Haraway uses vision and perspective as a metaphor to discuss scientific knowledge. Today, egocentric computer vision discusses many of the same issues,... | [] | Validation |
23,115 | 24 | Title: Evaluating Model Performance in Medical Datasets Over Time
Abstract: Machine learning (ML) models deployed in healthcare systems must face data drawn from continually evolving environments. However, researchers proposing such models typically evaluate them in a time-agnostic manner, splitting datasets according ... | [] | Test |
23,116 | 24 | Title: Efficiently predicting high resolution mass spectra with graph neural networks
Abstract: Identifying a small molecule from its mass spectrum is the primary open problem in computational metabolomics. This is typically cast as information retrieval: an unknown spectrum is matched against spectra predicted computa... | [
39253
] | Test |
23,117 | 24 | Title: Less Can Be More: Unsupervised Graph Pruning for Large-scale Dynamic Graphs
Abstract: The prevalence of large-scale graphs poses great challenges in time and storage for training and deploying graph neural networks (GNNs). Several recent works have explored solutions for pruning the large original graph into a s... | [
41764
] | Train |
23,118 | 30 | Title: How Do In-Context Examples Affect Compositional Generalization?
Abstract: Compositional generalization–understanding unseen combinations of seen primitives–is an essential reasoning capability in human intelligence.The AI community mainly studies this capability by fine-tuning neural networks on lots of training... | [
9521,
12370,
43327
] | Train |
23,119 | 6 | Title: AI enabled RPM for mental health facility
Abstract: Mental healthcare is one of the prominent parts of the healthcare industry with alarming concerns related to patients' depression, stress leading to self-harm and threat to fellow patients and medical staff. To provide a therapeutic environment for both patient... | [
6921,
10594,
38791
] | Test |
23,120 | 30 | Title: SSD-2: Scaling and Inference-time Fusion of Diffusion Language Models
Abstract: Diffusion-based language models (LMs) have been shown to be competent generative models that are easy to control at inference and are a promising alternative to autoregressive LMs. While autoregressive LMs have benefited immensely fr... | [
33220,
25892,
4039,
23242,
8939,
42972,
31633,
14514,
7669,
6328,
38936,
39451,
43484,
34110
] | Train |
23,121 | 3 | Title: Legal and ethical considerations regarding the use of ChatGPT in education
Abstract: Artificial intelligence has evolved enormously over the last two decades, becoming mainstream in different scientific domains including education, where so far, it is mainly utilized to enhance administrative and intelligent tut... | [] | Train |
23,122 | 30 | Title: Why machines do not understand: A response to Søgaard
Abstract: Some defenders of so-called `artificial intelligence' believe that machines can understand language. In particular, S{\o}gaard has argued in this journal for a thesis of this sort, on the basis of the idea (1) that where there is semantics there is ... | [] | Train |
23,123 | 15 | Title: Boosting the 3D thermal‐aware floorplanning problem through a master‐worker parallel MOEA
Abstract: The increasing transistor scale integration poses, among others, the thermal‐aware floorplanning problem consisting of how to place the hardware components in order to reduce overheating by dissipation. Because of... | [] | Train |
23,124 | 16 | Title: VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the Spherical Representations
Abstract: Rotation estimation of high precision from an RGB-D object observation is a huge challenge in 6D object pose estimation, due to the difficulty of learning in the non-linear space ... | [] | Train |
23,125 | 24 | Title: Shapley-based Explainable AI for Clustering Applications in Fault Diagnosis and Prognosis
Abstract: Data-driven artificial intelligence models require explainability in intelligent manufacturing to streamline adoption and trust in modern industry. However, recently developed explainable artificial intelligence (... | [
14242
] | Train |
23,126 | 20 | Title: Manipulating Weights to Improve Stress-Graph Drawings of 3-Connected Planar Graphs
Abstract: We study methods to manipulate weights in stress-graph embeddings to improve convex straight-line planar drawings of 3-connected planar graphs. Stress-graph embeddings are weighted versions of Tutte embeddings, where sol... | [] | Train |
23,127 | 30 | Title: Multilingual Clinical NER: Translation or Cross-lingual Transfer?
Abstract: Natural language tasks like Named Entity Recognition (NER) in the clinical domain on non-English texts can be very time-consuming and expensive due to the lack of annotated data. Cross-lingual transfer (CLT) is a way to circumvent this i... | [
31666,
3339,
36547
] | Validation |
23,128 | 4 | Title: Ownership Protection of Generative Adversarial Networks
Abstract: Generative adversarial networks (GANs) have shown remarkable success in image synthesis, making GAN models themselves commercially valuable to legitimate model owners. Therefore, it is critical to technically protect the intellectual property of G... | [] | Train |
23,129 | 28 | Title: Channel Measurement and Coverage Analysis for NIRS-Aided THz Communications in Indoor Environments
Abstract: Due to large reflection and diffraction losses in the THz band, it is arguable to achieve reliable links in the non-line-of-sight (NLoS) cases. Intelligent reflecting surfaces, although are expected to so... | [
3855
] | Test |
23,130 | 23 | Title: GAMMA: Revisiting Template-based Automated Program Repair via Mask Prediction
Abstract: Automated program repair (APR) aims to fix software bugs without human intervention and template-based APR has been widely investigated with promising results. However, it is challenging for template-based APR to select the a... | [
44938,
25227,
43119
] | Test |
23,131 | 31 | Title: Trust and Transparency in Recommender Systems
Abstract: Trust is long recognized to be an important factor in Recommender Systems (RS). However, there are different perspectives on trust and different ways to evaluate it. Moreover, a link between trust and transparency is often assumed but not always further inv... | [
10383
] | Train |
23,132 | 24 | Title: CyclicFL: A Cyclic Model Pre-Training Approach to Efficient Federated Learning
Abstract: Since random initial models in Federated Learning (FL) can easily result in unregulated Stochastic Gradient Descent (SGD) processes, existing FL methods greatly suffer from both slow convergence and poor accuracy, especially... | [] | Train |
23,133 | 16 | Title: What You Say Is What You Show: Visual Narration Detection in Instructional Videos
Abstract: Narrated ''how-to'' videos have emerged as a promising data source for a wide range of learning problems, from learning visual representations to training robot policies. However, this data is extremely noisy, as the narr... | [
6482,
999
] | Train |
23,134 | 10 | Title: Synthesizing Event-Centric Knowledge Graphs of Daily Activities Using Virtual Space
Abstract: Artificial intelligence (AI) is expected to be embodied in software agents, robots, and cyber-physical systems that can understand the various contextual information of daily life in the home environment to support huma... | [] | Test |
23,135 | 30 | Title: Enhancing Few-shot NER with Prompt Ordering based Data Augmentation
Abstract: Recently, data augmentation (DA) methods have been proven to be effective for pre-trained language models (PLMs) in low-resource settings, including few-shot named entity recognition (NER). However, conventional NER DA methods are most... | [] | Test |
23,136 | 30 | Title: Abstractive Text Summarization using Attentive GRU based Encoder-Decoder
Abstract: nan | [] | Train |
23,137 | 34 | Title: Limited Query Graph Connectivity Test
Abstract: We propose a combinatorial optimisation model called Limited Query Graph Connectivity Test. We consider a graph whose edges have two possible states (On/Off). The edges' states are hidden initially. We could query an edge to reveal its state. Given a source s and a... | [
44048
] | Train |
23,138 | 36 | Title: Altruism in Coalition Formation Games
Abstract: Nguyen et al. [2016] introduced altruistic hedonic games in which agents’ utilities depend not only on their own preferences but also on those of their friends in the same coalition. We propose to extend their model to coalition formation games in general, consider... | [] | Train |
23,139 | 24 | Title: HINormer: Representation Learning On Heterogeneous Information Networks with Graph Transformer
Abstract: Recent studies have highlighted the limitations of message-passing based graph neural networks (GNNs), e.g., limited model expressiveness, over-smoothing, over-squashing, etc. To alleviate these issues, Graph... | [] | Validation |
23,140 | 29 | Title: CAWL: A Cache-aware Write Performance Model of Linux Systems
Abstract: The performance of data intensive applications is often dominated by their input/output (I/O) operations but the I/O stack of systems is complex and severely depends on system specific settings and hardware components. This situation makes ge... | [] | Train |
23,141 | 24 | Title: SSR-TA: Sequence to Sequence based expert recurrent recommendation for ticket automation
Abstract: The ticket automation provides crucial support for the normal operation of IT software systems. An essential task of ticket automation is to assign experts to solve upcoming tickets. However, facing thousands of ti... | [] | Train |
23,142 | 16 | Title: GlobalMind: Global Multi-head Interactive Self-attention Network for Hyperspectral Change Detection
Abstract: High spectral resolution imagery of the Earth's surface enables users to monitor changes over time in fine-grained scale, playing an increasingly important role in agriculture, defense, and emergency res... | [
41271
] | Train |
23,143 | 30 | Title: The Acquisition of Semantic Relationships between words
Abstract: The study of semantic relationships has revealed a close connection between these relationships and the morphological characteristics of a language. Morphology, as a subfield of linguistics, investigates the internal structure and formation of wor... | [] | Train |
23,144 | 6 | Title: Heuristics for Supporting Cooperative Dashboard Design
Abstract: Dashboards are no longer mere static displays of metrics; through functionality such as interaction and storytelling, they have evolved to support analytic and communicative goals like monitoring and reporting. Existing dashboard design guidelines,... | [] | Train |
23,145 | 25 | Title: Perceptual-Neural-Physical Sound Matching
Abstract: Sound matching algorithms seek to approximate a target waveform by parametric audio synthesis. Deep neural networks have achieved promising results in matching sustained harmonic tones. However, the task is more challenging when targets are nonstationary and in... | [
27673,
19170
] | Train |
23,146 | 4 | Title: Trustworthy Semantic Communications for the Metaverse Relying on Federated Learning
Abstract: As an evolving successor to the mobile Internet, the Metaverse creates the impression of an immersive environment, integrating the virtual and real world. In contrast to the traditional mobile Internet based on servers,... | [
11480
] | Train |
23,147 | 24 | Title: Ensemble Learning based Anomaly Detection for IoT Cybersecurity via Bayesian Hyperparameters Sensitivity Analysis
Abstract: The Internet of Things (IoT) integrates more than billions of intelligent devices over the globe with the capability of communicating with other connected devices with little to no human in... | [
28921
] | Train |
23,148 | 30 | Title: PALI: A Language Identification Benchmark for Perso-Arabic Scripts
Abstract: The Perso-Arabic scripts are a family of scripts that are widely adopted and used by various linguistic communities around the globe. Identifying various languages using such scripts is crucial to language technologies and challenging i... | [
1841
] | Validation |
23,149 | 16 | Title: LD-GAN: Low-Dimensional Generative Adversarial Network for Spectral Image Generation with Variance Regularization
Abstract: Deep learning methods are state-of-the-art for spectral image (SI) computational tasks. However, these methods are constrained in their performance since available datasets are limited due ... | [
28713
] | Train |
23,150 | 24 | Title: Variational Label-Correlation Enhancement for Congestion Prediction
Abstract: The physical design process of large-scale designs is a time-consuming task, often requiring hours to days to complete, with routing being the most critical and complex step. As the the complexity of Integrated Circuits (ICs) increases... | [] | Train |
23,151 | 13 | Title: Massively Parallel Genetic Optimization through Asynchronous Propagation of Populations
Abstract: nan | [] | Test |
23,152 | 16 | Title: Aligning Bag of Regions for Open-Vocabulary Object Detection
Abstract: Pre-trained vision-language models (VLMs) learn to align vision and language representations on large-scale datasets, where each image-text pair usually contains a bag of semantic concepts. However, existing open-vocabulary object detectors o... | [
24653,
17390,
18447,
32050,
22814
] | Train |
23,153 | 16 | Title: IDiff-Face: Synthetic-based Face Recognition through Fizzy Identity-Conditioned Diffusion Models
Abstract: The availability of large-scale authentic face databases has been crucial to the significant advances made in face recognition research over the past decade. However, legal and ethical concerns led to the r... | [
22834,
43091,
41948,
42579
] | Train |
23,154 | 2 | Title: Positivity-hardness results on Markov decision processes
Abstract: This paper investigates a series of optimization problems for one-counter Markov decision processes (MDPs) and integer-weighted MDPs with finite state space. Specifically, it considers problems addressing termination probabilities and expected te... | [
32823
] | Validation |
23,155 | 34 | Title: The Covering Canadian Traveller Problem Revisited
Abstract: In this paper, we consider the $k$-Covering Canadian Traveller Problem ($k$-CCTP), which can be seen as a variant of the Travelling Salesperson Problem. The goal of $k$-CCTP is finding the shortest tour for a traveller to visit a set of locations in a g... | [] | Test |
23,156 | 24 | Title: A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware
Abstract: Graph neural networks (GNNs) are emerging for machine learning research on graph-structured data. GNNs achieve state-of-the-art performance on many tasks, but they face scalability challenges when it comes to re... | [
9755,
23805,
17895
] | Test |
23,157 | 22 | Title: 3D Environment Modeling for Falsification and Beyond with Scenic 3.0
Abstract: We present a major new version of Scenic, a probabilistic programming language for writing formal models of the environments of cyber-physical systems. Scenic has been successfully used for the design and analysis of CPS in a variety ... | [] | Test |
23,158 | 6 | Title: When Provenance Aids and Complicates Reproducibility Judgments
Abstract: It is well-established that the provenance of a scientific result is important, sometimes more important than the actual result. For computational analyses that involve visualization, this provenance information may contain the steps involv... | [] | Validation |
23,159 | 30 | Title: Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation
Abstract: Many recent advances in natural language generation have been fueled by training large language models on internet-scale data. However, this paradigm can lead to models that generate toxic, inaccurate, and unhelp... | [
17920,
4111,
19472,
35091,
37411,
25772,
9518,
11567,
4658,
22578,
6328,
1594,
33220,
846,
43602,
3804,
10976,
42735,
42230,
17789
] | Train |
23,160 | 6 | Title: Promoting Bright Patterns
Abstract: User experience designers are facing increasing scrutiny and criticism for creating harmful technologies, leading to a pushback against unethical design practices. While clear-cut harmful practices such as dark patterns have received attention, trends towards automation, perso... | [] | Train |
23,161 | 24 | Title: Language Aligned Visual Representations Predict Human Behavior in Naturalistic Learning Tasks
Abstract: Humans possess the ability to identify and generalize relevant features of natural objects, which aids them in various situations. To investigate this phenomenon and determine the most effective representation... | [] | Validation |
23,162 | 30 | Title: Re3Dial: Retrieve, Reorganize and Rescale Dialogue Corpus for Long-Turn Open-Domain Dialogue Pre-training
Abstract: Large-scale open-domain dialogue data crawled from public social media has greatly improved the performance of dialogue models. However, long-turn dialogues are still highly scarce. Specifically, m... | [] | Train |
23,163 | 34 | Title: On the Approximability of External-Influence-Driven Problems
Abstract: Domination problems in general can capture situations in which some entities have an effect on other entities (and sometimes on themselves). The usual goal is to select a minimum number of entities that can influence a target group of entitie... | [] | Test |
23,164 | 4 | Title: Adversarial Deep Reinforcement Learning for Cyber Security in Software Defined Networks
Abstract: This paper focuses on the impact of leveraging autonomous offensive approaches in Deep Reinforcement Learning (DRL) to train more robust agents by exploring the impact of applying adversarial learning to DRL for aut... | [] | Validation |
23,165 | 24 | Title: Fairness Aware Counterfactuals for Subgroups
Abstract: In this work, we present Fairness Aware Counterfactuals for Subgroups (FACTS), a framework for auditing subgroup fairness through counterfactual explanations. We start with revisiting (and generalizing) existing notions and introducing new, more refined noti... | [] | Train |
23,166 | 24 | Title: Generalization Error Bounds for Noisy, Iterative Algorithms via Maximal Leakage
Abstract: We adopt an information-theoretic framework to analyze the generalization behavior of the class of iterative, noisy learning algorithms. This class is particularly suitable for study under information-theoretic metrics as t... | [] | Train |
23,167 | 24 | Title: B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding
Abstract: Estimating heterogeneous treatment effects from observational data is a crucial task across many fields, helping policy and decision-makers take better actions. There has been recent progress on robust and efficient... | [
31090,
40443
] | Train |
23,168 | 16 | Title: PanoGen: Text-Conditioned Panoramic Environment Generation for Vision-and-Language Navigation
Abstract: Vision-and-Language Navigation (VLN) requires the agent to follow language instructions to navigate through 3D environments. One main challenge in VLN is the limited availability of photorealistic training env... | [
10624,
30402,
3625,
16650,
4559,
20949
] | Train |
23,169 | 27 | Title: Enabling Faster Locomotion of Planetary Rovers with a Mechanically-Hybrid Suspension
Abstract: The exploration of the lunar poles and the collection of samples from the martian surface are characterized by shorter time windows demanding increased autonomy and speeds. Autonomous mobile robots must intrinsically c... | [
31459
] | Train |
23,170 | 16 | Title: Improved Active Fire Detection Using Operational U-nets
Abstract: As a consequence of global warming and climate change, the risk and extent of wildfires have been increasing in many areas worldwide. Warmer temperatures and drier conditions can cause quickly spreading fires and make them harder to control; there... | [] | Validation |
23,171 | 10 | Title: Causal Intersectionality and Dual Form of Gradient Descent for Multimodal Analysis: a Case Study on Hateful Memes
Abstract: In the wake of the explosive growth of machine learning (ML) usage, particularly within the context of emerging Large Language Models (LLMs), comprehending the semantic significance rooted ... | [
10624,
40192,
13700,
21733,
12015,
43641
] | Validation |
23,172 | 24 | Title: Improved Robustness Against Adaptive Attacks With Ensembles and Error-Correcting Output Codes
Abstract: Neural network ensembles have been studied extensively in the context of adversarial robustness and most ensemble-based approaches remain vulnerable to adaptive attacks. In this paper, we investigate the robus... | [] | Train |
23,173 | 28 | Title: On the Statistical Relation of Ultra-Reliable Wireless and Location Estimation
Abstract: Location information is often used as a proxy to guarantee the performance of a wireless communication link. However, localization errors can result in a significant mismatch with the guarantees, particularly detrimental to ... | [
27993
] | Train |
23,174 | 24 | Title: Piecewise Linear Functions Representable with Infinite Width Shallow ReLU Neural Networks
Abstract: This paper analyzes representations of continuous piecewise linear functions with infinite width, finite cost shallow neural networks using the rectified linear unit (ReLU) as an activation function. Through its i... | [] | Test |
23,175 | 34 | Title: Local elimination in the traveling salesman problem
Abstract: Hougardy and Schroeder (WG 2014) proposed a combinatorial technique for pruning the search space in the traveling salesman problem, establishing that, for a given instance, certain edges cannot be present in any optimal tour. We describe an implementa... | [] | Train |
23,176 | 3 | Title: Improving City Life via Legitimate and Participatory Policy-making: A Data-driven Approach in Switzerland
Abstract: This paper introduces a novel data-driven approach to address challenges faced by city policymakers concerning the distribution of public funds. Providing budgeting processes for improving quality ... | [
44630,
28804,
12846
] | Train |
23,177 | 30 | Title: A blind spot for large language models: Supradiegetic linguistic information
Abstract: Large Language Models (LLMs) like ChatGPT reflect profound changes in the field of Artificial Intelligence, achieving a linguistic fluency that is impressively, even shockingly, human-like. The extent of their current and pote... | [
40610,
9508,
13510
] | Train |
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