node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
15,878 | 28 | Title: Gaussian Database Alignment and Gaussian Planted Matching
Abstract: Database alignment is a variant of the graph alignment problem: Given a pair of anonymized databases containing separate yet correlated features for a set of users, the problem is to identify the correspondence between the features and align the... | [] | Validation |
15,879 | 2 | Title: Characterizing Structural Hardness of Logic Programs: What makes Cycles and Reachability Hard for Treewidth?
Abstract: Answer Set Programming (ASP) is a problem modeling and solving framework for several problems in KR with growing industrial applications. Also for studies of computational complexity and deeper ... | [] | Test |
15,880 | 25 | Title: Toward Leveraging Pre-Trained Self-Supervised Frontends for Automatic Singing Voice Understanding Tasks: Three Case Studies
Abstract: Automatic singing voice understanding tasks, such as singer identification, singing voice transcription, and singing technique classification, benefit from data-driven approaches ... | [
19640,
37464,
20989
] | Train |
15,881 | 4 | Title: Poisoning Web-Scale Training Datasets is Practical
Abstract: Deep learning models are often trained on distributed, webscale datasets crawled from the internet. In this paper, we introduce two new dataset poisoning attacks that intentionally introduce malicious examples to a model's performance. Our attacks are ... | [
14219,
39438,
25754,
28580,
13866,
19370,
1581,
1965,
30643,
14133,
22847,
38080,
5703,
8264,
13260,
2658,
45923,
12645,
44666,
37499,
10749
] | Validation |
15,882 | 5 | Title: Lotaru: Locally predicting workflow task runtimes for resource management on heterogeneous infrastructures
Abstract: nan | [] | Test |
15,883 | 30 | Title: LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition
Abstract: Low-rank adaptations (LoRA) are often employed to fine-tune large language models (LLMs) for new tasks. This paper investigates LoRA composability for cross-task generalization and introduces LoraHub, a strategic framework devise... | [
2979,
13700,
20996,
25892,
12775,
21915
] | Train |
15,884 | 34 | Title: Optimal Eigenvalue Approximation via Sketching
Abstract: Given a symmetric matrix A, we show from the simple sketch GAGT, where G is a Gaussian matrix with k = O(1/є2) rows, that there is a procedure for approximating all eigenvalues of A simultaneously to within є ||A||F additive error with large probability. U... | [] | Train |
15,885 | 3 | Title: Prototyping the use of Large Language Models (LLMs) for adult learning content creation at scale
Abstract: As Large Language Models (LLMs) and other forms of Generative AI permeate various aspects of our lives, their application for learning and education has provided opportunities and challenges. This paper pre... | [
44000,
43566
] | Train |
15,886 | 16 | Title: CLIP-Layout: Style-Consistent Indoor Scene Synthesis with Semantic Furniture Embedding
Abstract: Indoor scene synthesis involves automatically picking and placing furniture appropriately on a floor plan, so that the scene looks realistic and is functionally plausible. Such scenes can serve as homes for immersive... | [
19320,
2211,
44726
] | Validation |
15,887 | 16 | Title: Pose-Graph Attentional Graph Neural Network for Lidar Place Recognition
Abstract: This paper proposes a lidar place recognition approach, called P-GAT, to increase the receptive field between point clouds captured over time. Instead of comparing pairs of point clouds, we compare the similarity between sets of po... | [] | Test |
15,888 | 10 | Title: Mining for Unknown Unknowns
Abstract: Unknown unknowns are future relevant contingencies that lack an ex ante description. While there are numerous retrospective accounts showing that significant gains or losses might have been achieved or avoided had such contingencies been previously uncovered, getting hold of... | [] | Train |
15,889 | 16 | Title: Semi-supervised Instance Segmentation with a Learned Shape Prior
Abstract: nan | [] | Train |
15,890 | 39 | Title: Expansivity and periodicity in algebraic subshifts
Abstract: A d-dimensional configuration $$c:\mathbb {Z}^d\longrightarrow A$$
c
:
Z
d
⟶
A
is a coloring of the d-dimensional infinite grid by elements of a finite alphabet $$A\subseteq \mathbb {Z}$$
A
⊆
Z
. The configuration c has an an... | [] | Train |
15,891 | 16 | Title: Text-guided Foundation Model Adaptation for Pathological Image Classification
Abstract: The recent surge of foundation models in computer vision and natural language processing opens up perspectives in utilizing multi-modal clinical data to train large models with strong generalizability. Yet pathological image ... | [
10624,
4923,
23575
] | Train |
15,892 | 36 | Title: On-demand Mobility-as-a-Service platform assignment games with guaranteed stable outcomes
Abstract: Mobility-as-a-Service (MaaS) systems are two-sided markets, with two mutually exclusive sets of agents, i.e., travelers/users and operators, forming a mobility ecosystem in which multiple operators compete or coop... | [] | Test |
15,893 | 3 | Title: Smart Cities and Digital Twins in Lower Austria
Abstract: Smart city solutions require innovative governance approaches together with the smart use of technology, such as digital twins, by city managers and policymakers to manage the big societal challenges. The project Smart Cities aNd Digital Twins in Lower Au... | [] | Validation |
15,894 | 30 | Title: Should you marginalize over possible tokenizations?
Abstract: Autoregressive language models (LMs) map token sequences to probabilities. The usual practice for computing the probability of any character string (e.g. English sentences) is to first transform it into a sequence of tokens that is scored by the model... | [
4340
] | Validation |
15,895 | 34 | Title: Fredman’s Trick Meets Dominance Product: Fine-Grained Complexity of Unweighted APSP, 3SUM Counting, and More
Abstract: In this paper we carefully combine Fredman’s trick [SICOMP’76] and Matoušek’s approach for dominance product [IPL’91] to obtain powerful results in fine-grained complexity. Under the hypothesis ... | [] | Train |
15,896 | 17 | Title: Align, Adapt and Inject: Sound-guided Unified Image Generation
Abstract: Text-guided image generation has witnessed unprecedented progress due to the development of diffusion models. Beyond text and image, sound is a vital element within the sphere of human perception, offering vivid representations and naturall... | [
38306,
21125
] | Validation |
15,897 | 2 | Title: Counterfactuals Modulo Temporal Logics
Abstract: Lewis’ theory of counterfactuals is the foundation of many contemporary notions of causality. In this paper, we extend this theory in the temporal direction to enable symbolic counterfactual reasoning on infinite sequences, such as counterexamples found by a model... | [
23878
] | Train |
15,898 | 24 | Title: Communication Trade-offs in Federated Learning of Spiking Neural Networks
Abstract: Spiking Neural Networks (SNNs) are biologically inspired alternatives to conventional Artificial Neural Networks (ANNs). Despite promising preliminary results, the trade-offs in the training of SNNs in a distributed scheme are no... | [] | Train |
15,899 | 37 | Title: Tutorial: The Ubiquitous Skiplist, its Variants, and Applications in Modern Big Data Systems
Abstract: The Skiplist, or skip list, originally designed as an in-memory data structure, has attracted a lot of attention in recent years as a main-memory component in many NoSQL, cloud-based, and big data systems. Unli... | [] | Validation |
15,900 | 8 | Title: TSoR: TCP Socket over RDMA Container Network for Cloud Native Computing
Abstract: Cloud-native containerized applications constantly seek high-performance and easy-to-operate container network solutions. RDMA network is a potential enabler with higher throughput and lower latency than the standard TCP/IP network... | [
11938,
27595
] | Train |
15,901 | 16 | Title: Energy-Based Cross Attention for Bayesian Context Update in Text-to-Image Diffusion Models
Abstract: Despite the remarkable performance of text-to-image diffusion models in image generation tasks, recent studies have raised the issue that generated images sometimes cannot capture the intended semantic contents o... | [
42145,
43867,
16103,
44999
] | Train |
15,902 | 10 | Title: Fast and Slow Planning
Abstract: The concept of Artificial Intelligence has gained a lot of attention over the last decade. In particular, AI-based tools have been employed in several scenarios and are, by now, pervading our everyday life. Nonetheless, most of these systems lack many capabilities that we would n... | [] | Train |
15,903 | 26 | Title: INFLECT-DGNN: Influencer Prediction with Dynamic Graph Neural Networks
Abstract: Leveraging network information for predictive modeling has become widespread in many domains. Within the realm of referral and targeted marketing, influencer detection stands out as an area that could greatly benefit from the incorp... | [] | Train |
15,904 | 3 | Title: Stakeholder-in-the-Loop Fair Decisions: A Framework to Design Decision Support Systems in Public and Private Organizations
Abstract: nan | [] | Train |
15,905 | 30 | Title: Tracking public attitudes toward ChatGPT on Twitter using sentiment analysis and topic modeling
Abstract: ChatGPT sets a new record with the fastest-growing user base, as a chatbot powered by a large language model (LLM). While it demonstrates state-of-the-art capabilities in a variety of language-generating tas... | [
12896,
16827,
44173
] | Train |
15,906 | 10 | Title: Retrosynthetic Planning with Dual Value Networks
Abstract: Retrosynthesis, which aims to find a route to synthesize a target molecule from commercially available starting materials, is a critical task in drug discovery and materials design. Recently, the combination of ML-based single-step reaction predictors wi... | [
24876
] | Train |
15,907 | 24 | Title: Interactive-Chain-Prompting: Ambiguity Resolution for Crosslingual Conditional Generation with Interaction
Abstract: Crosslingual conditional generation (e.g., machine translation) has long enjoyed the benefits of scaling. Nonetheless, there are still issues that scale alone may not overcome. A source query in o... | [
27340,
7661,
44727,
1528,
15615
] | Train |
15,908 | 16 | Title: Video Frame Interpolation with Flow Transformer
Abstract: Video frame interpolation has been actively studied with the development of convolutional neural networks. However, due to the intrinsic limitations of kernel weight sharing in convolution, the interpolated frame generated by it may lose details. In contr... | [] | Train |
15,909 | 27 | Title: NeuronsMAE: A Novel Multi-Agent Reinforcement Learning Environment for Cooperative and Competitive Multi-Robot Tasks
Abstract: Multi-agent reinforcement learning (MARL) has achieved remarkable success in various challenging problems. Meanwhile, more and more benchmarks have emerged and provided some standards to... | [
25339
] | Train |
15,910 | 24 | Title: Learning Against Distributional Uncertainty: On the Trade-off Between Robustness and Specificity
Abstract: Trustworthy machine learning aims at combating distributional uncertainties in training data distributions compared to population distributions. Typical treatment frameworks include the Bayesian approach, (... | [] | Train |
15,911 | 27 | Title: Towards Deep Learning Guided Autonomous Eye Surgery Using Microscope and iOCT Images
Abstract: Recent advancements in retinal surgery have paved the way for a modern operating room equipped with a surgical robot, a microscope, and intraoperative optical coherence tomography (iOCT)- a depth sensor widely used in ... | [
5718
] | Train |
15,912 | 27 | Title: SwipeBot: DNN-based Autonomous Robot Navigation among Movable Obstacles in Cluttered Environments
Abstract: In this paper, we propose a novel approach to wheeled robot navigation through an environment with movable obstacles. A robot exploits knowledge about different obstacle classes and selects the minimally i... | [] | Test |
15,913 | 23 | Title: DeepScaler: Holistic Autoscaling for Microservices Based on Spatiotemporal GNN with Adaptive Graph Learning
Abstract: Autoscaling functions provide the foundation for achieving elasticity in the modern cloud computing paradigm. It enables dynamic provisioning or de-provisioning resources for cloud software servi... | [] | Train |
15,914 | 24 | Title: Data Dependent Regret Guarantees Against General Comparators for Full or Bandit Feedback
Abstract: We study the adversarial online learning problem and create a completely online algorithmic framework that has data dependent regret guarantees in both full expert feedback and bandit feedback settings. We study th... | [] | Validation |
15,915 | 6 | Title: Disappearing frameworks explained
Abstract: The web is the most prominent application platform globally, thanks to its vast user base. It started as a site platform in the 90s and morphed into an application one over time as interactive web applications became a reality. So-called single-page applications (SPAs)... | [
9220,
2045
] | Validation |
15,916 | 4 | Title: CAPTCHA Types and Breaking Techniques: Design Issues, Challenges, and Future Research Directions
Abstract: The proliferation of the Internet and mobile devices has resulted in malicious bots access to genuine resources and data. Bots may instigate phishing, unauthorized access, denial-of-service, and spoofing at... | [] | Train |
15,917 | 30 | Title: Data Augmentation for Conversational AI
Abstract: Advancements in conversational systems have revolutionized information access, surpassing the limitations of single queries. However, developing dialogue systems requires a large amount of training data, which is a challenge in low-resource domains and languages.... | [
4409,
29206
] | Train |
15,918 | 16 | Title: Token Merging for Fast Stable Diffusion
Abstract: The landscape of image generation has been forever changed by open vocabulary diffusion models. However, at their core these models use transformers, which makes generation slow. Better implementations to increase the throughput of these transformers have emerged... | [
25400,
36731,
30229,
16783
] | Train |
15,919 | 23 | Title: Multilingual Adapter-based Knowledge Aggregation on Code Summarization for Low-Resource Languages
Abstract: Multilingual fine-tuning (of a multilingual Pre-trained Language Model) has shown to improve performance of downstream tasks. However, it was observed that different programming languages may have differen... | [] | Test |
15,920 | 17 | Title: Sketch2Cloth: Sketch-Based 3D Garment Generation With Unsigned Distance Fields
Abstract: 3D model reconstruction from a single image has achieved great progress with the recent deep generative models. However, conventional reconstruction approaches with template mesh deformation and implicit fields have difficul... | [
41423
] | Test |
15,921 | 24 | Title: Unlocking Accuracy and Fairness in Differentially Private Image Classification
Abstract: Privacy-preserving machine learning aims to train models on private data without leaking sensitive information. Differential privacy (DP) is considered the gold standard framework for privacy-preserving training, as it provi... | [
2596,
38724,
14215,
39628,
14702,
4334,
37070,
45104,
2290,
15378,
19933
] | Train |
15,922 | 16 | Title: JNDMix: JND-Based Data Augmentation for No-reference Image Quality Assessment
Abstract: Despite substantial progress in no-reference image quality assessment (NR-IQA), previous training models often suffer from over-fitting due to the limited scale of used datasets, resulting in model performance bottlenecks. To... | [] | Train |
15,923 | 30 | Title: An Empirical Study on the Transferability of Transformer Modules in Parameter-efficient Fine-tuning
Abstract: Parameter-efficient fine-tuning has garnered lots of attention in recent studies.On this subject, we investigate the capability of different transformer modules in transferring knowledge from a pre-train... | [] | Train |
15,924 | 25 | Title: Natural Language Supervision for General-Purpose Audio Representations
Abstract: Audio-Language models jointly learn multimodal text and audio representations that enable Zero-Shot inference. Models rely on the encoders to create powerful representations of the input and generalize to multiple tasks ranging from... | [] | Test |
15,925 | 10 | Title: Team Badminseok at IJCAI CoachAI Badminton Challenge 2023: Multi-Layer Multi-Input Transformer Network (MuLMINet) with Weighted Loss
Abstract: The increasing use of artificial intelligence (AI) technology in turn-based sports, such as badminton, has sparked significant interest in evaluating strategies through t... | [
32591
] | Validation |
15,926 | 30 | Title: Test-Time Adaptation with Perturbation Consistency Learning
Abstract: Currently, pre-trained language models (PLMs) do not cope well with the distribution shift problem, resulting in models trained on the training set failing in real test scenarios. To address this problem, the test-time adaptation (TTA) shows g... | [
19039
] | Test |
15,927 | 24 | Title: Fortuna: A Library for Uncertainty Quantification in Deep Learning
Abstract: We present Fortuna, an open-source library for uncertainty quantification in deep learning. Fortuna supports a range of calibration techniques, such as conformal prediction that can be applied to any trained neural network to generate r... | [
23873
] | Train |
15,928 | 16 | Title: Toward Real Flare Removal: A Comprehensive Pipeline and A New Benchmark
Abstract: Photographing in the under-illuminated scenes, the presence of complex light sources often leave strong flare artifacts in images, where the intensity, the spectrum, the reflection, and the aberration altogether contribute the dete... | [] | Validation |
15,929 | 16 | Title: Single-branch Network for Multimodal Training
Abstract: With the rapid growth of social media platforms, users are sharing billions of multimedia posts containing audio, images, and text. Researchers have focused on building autonomous systems capable of processing such multimedia data to solve challenging multi... | [
36334
] | Validation |
15,930 | 16 | Title: Edge-guided Multi-domain RGB-to-TIR image Translation for Training Vision Tasks with Challenging Labels
Abstract: The insufficient number of annotated thermal infrared (TIR) image datasets not only hinders TIR image-based deep learning networks to have comparable performances to that of RGB but it also limits th... | [
14907
] | Train |
15,931 | 13 | Title: The generalized Hierarchical Gaussian Filter
Abstract: Hierarchical Bayesian models of perception and learning feature prominently in contemporary cognitive neuroscience where, for example, they inform computational concepts of mental disorders. This includes predictive coding and hierarchical Gaussian filtering... | [] | Train |
15,932 | 5 | Title: Leveraging TLA+ Specifications to Improve the Reliability of the ZooKeeper Coordination Service
Abstract: ZooKeeper is a coordination service, widely used as a backbone of various distributed systems. Though its reliability is of critical importance, testing is insufficient for an industrial-strength system of t... | [] | Validation |
15,933 | 34 | Title: Fast Algorithms for Energy Games in Special Cases
Abstract: In this paper, we study algorithms for special cases of energy games, a class of turn-based games on graphs that show up in the quantitative analysis of reactive systems. In an energy game, the vertices of a weighted directed graph belong either to Alic... | [
8616,
23265
] | Train |
15,934 | 16 | Title: Indian Sign Language Recognition Using Mediapipe Holistic
Abstract: Deaf individuals confront significant communication obstacles on a daily basis. Their inability to hear makes it difficult for them to communicate with those who do not understand sign language. Moreover, it presents difficulties in educational,... | [
1083
] | Test |
15,935 | 24 | Title: Hypergraph Convolutional Networks for Fine-grained ICU Patient Similarity Analysis and Risk Prediction
Abstract: The Intensive Care Unit (ICU) is one of the most important parts of a hospital, which admits critically ill patients and provides continuous monitoring and treatment. Various patient outcome predictio... | [] | Train |
15,936 | 33 | Title: Jumping Automata over Infinite Words
Abstract: Jumping automata are finite automata that read their input in a non-consecutive manner, disregarding the order of the letters in the word. We introduce and study jumping automata over infinite words. Unlike the setting of finite words, which has been well studied, f... | [] | Train |
15,937 | 6 | Title: DashQL - Complete Analysis Workflows with SQL
Abstract: We present DashQL, a language that describes complete analysis workflows in self-contained scripts. DashQL combines SQL, the grammar of relational database systems, with a grammar of graphics in a grammar of analytics. It supports preparing and visualizing ... | [] | Test |
15,938 | 34 | Title: Dependent rounding with strong negative-correlation, and scheduling on unrelated machines to minimize completion time
Abstract: We describe a new dependent-rounding algorithmic framework for bipartite graphs. Given a fractional assignment $y$ of values to edges of graph $G = (U \cup V, E)$, the algorithms return... | [] | Train |
15,939 | 16 | Title: AutoPoster: A Highly Automatic and Content-aware Design System for Advertising Poster Generation
Abstract: Advertising posters, a form of information presentation, combine visual and linguistic modalities. Creating a poster involves multiple steps and necessitates design experience and creativity. This paper int... | [
16821,
36599
] | Test |
15,940 | 24 | Title: CUDA: Convolution-Based Unlearnable Datasets
Abstract: Large-scale training of modern deep learning models heavily relies on publicly available data on the web. This potentially unauthorized usage of online data leads to concerns regarding data privacy. Recent works aim to make unlearnable data for deep learning... | [
31936,
497,
41925,
8449
] | Test |
15,941 | 28 | Title: Self-attention for Enhanced OAMP Detection in MIMO Systems
Abstract: Multiple-Input Multiple-Output (MIMO) systems are essential for wireless communications. Sinceclassical algorithms for symbol detection in MIMO setups require large computational resourcesor provide poor results, data-driven algorithms are beco... | [] | Test |
15,942 | 28 | Title: Reliability and Latency Analysis for Wireless Communication Systems with a Secret-Key Budget
Abstract: We consider a wireless communication system with a passive eavesdropper, in which a transmitter and legitimate receiver generate and use key bits to secure the transmission of their data. These bits are added t... | [] | Validation |
15,943 | 30 | Title: Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation
Abstract: Few-shot fine-tuning and in-context learning are two alternative strategies for task adaptation of pre-trained language models. Recently, in-context learning has gained popularity over fine-tuning due to its simplicity and i... | [
33220,
20116,
41336,
33561,
29375
] | Train |
15,944 | 16 | Title: TiAVox: Time-aware Attenuation Voxels for Sparse-view 4D DSA Reconstruction
Abstract: Four-dimensional Digital Subtraction Angiography (4D DSA) plays a critical role in the diagnosis of many medical diseases, such as Arteriovenous Malformations (AVM) and Arteriovenous Fistulas (AVF). Despite its significant appl... | [
1002,
21771,
23760,
8818,
2614,
36218,
9565
] | Train |
15,945 | 4 | Title: Digital Twins and Blockchain for IoT Management
Abstract: Security and privacy are primary concerns in IoT management. Security breaches in IoT resources, such as smart sensors, can leak sensitive data and compromise the privacy of individuals. Effective IoT management requires a comprehensive approach to priori... | [] | Train |
15,946 | 30 | Title: Is word segmentation necessary for Vietnamese sentiment classification?
Abstract: To the best of our knowledge, this paper made the first attempt to answer whether word segmentation is necessary for Vietnamese sentiment classification. To do this, we presented five pre-trained monolingual S4-based language model... | [] | Train |
15,947 | 5 | Title: gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters
Abstract: GPU-aware collective communication has become a major bottleneck for modern computing platforms as GPU computing power rapidly rises. To address this issue, traditional approaches integrate lossy compression directly int... | [] | Train |
15,948 | 2 | Title: When do homomorphism counts help in query algorithms?
Abstract: A query algorithm based on homomorphism counts is a procedure for determining whether a given instance satisfies a property by counting homomorphisms between the given instance and finitely many predetermined instances. In a left query algorithm, we... | [] | Train |
15,949 | 28 | Title: Deep Learning for Hybrid Beamforming with Finite Feedback in GSM Aided mmWave MIMO Systems
Abstract: Hybrid beamforming is widely recognized as an important technique for millimeter wave (mmWave) multiple input multiple output (MIMO) systems. Generalized spatial modulation (GSM) is further introduced to improve ... | [
7515
] | Train |
15,950 | 16 | Title: LayoutDM: Transformer-based Diffusion Model for Layout Generation
Abstract: Automatic layout generation that can synthesize high-quality layouts is an important tool for graphic design in many applications. Though existing methods based on generative models such as Generative Adversarial Networks (GANs) and Vari... | [
39340,
500,
38551
] | Validation |
15,951 | 16 | Title: Reference-based Painterly Inpainting via Diffusion: Crossing the Wild Reference Domain Gap
Abstract: Have you ever imagined how it would look if we placed new objects into paintings? For example, what would it look like if we placed a basketball into Claude Monet's ``Water Lilies, Evening Effect''? We propose Re... | [
6488,
34074,
27508
] | Train |
15,952 | 24 | Title: CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Evaluations on HumanEval-X
Abstract: Large pre-trained code generation models, such as OpenAI Codex, can generate syntax- and function-correct code, making the coding of programmers more productive and our pursuit of artificial general intellige... | [
39041,
13581,
33806,
42129,
41106,
16917,
42523,
34208,
10785,
27936,
2980,
31145,
34992,
25522,
2612,
10676,
11190,
1595,
32450,
36683,
13772,
16715,
33490,
36563,
16214,
8540,
17517,
24948,
28668,
41087
] | Train |
15,953 | 24 | Title: Energy-guided Entropic Neural Optimal Transport
Abstract: Energy-Based Models (EBMs) are known in the Machine Learning community for decades. Since the seminal works devoted to EBMs dating back to the noughties there have been appearing a lot of efficient methods which solve the generative modelling problem by m... | [
25265
] | Train |
15,954 | 13 | Title: Evolutionary Algorithms in the Light of SGD: Limit Equivalence, Minima Flatness, and Transfer Learning
Abstract: Whenever applicable, the Stochastic Gradient Descent (SGD) has shown itself to be unreasonably effective. Instead of underperforming and getting trapped in local minima due to the batch noise, SGD lev... | [] | Validation |
15,955 | 30 | Title: Improving Multimodal Classification of Social Media Posts by Leveraging Image-Text Auxiliary tasks
Abstract: Effectively leveraging multimodal information from social media posts is essential to various downstream tasks such as sentiment analysis, sarcasm detection and hate speech classification. However, combin... | [
32282,
25067,
17659
] | Train |
15,956 | 8 | Title: AI-assisted Improved Service Provisioning for Low-latency XR over 5G NR
Abstract: Extended Reality (XR) is one of the most important 5G/6G media applications that will fundamentally transform human interactions. However, ensuring low latency, high data rate, and reliability to support XR services poses significa... | [] | Test |
15,957 | 16 | Title: Isomer: Isomerous Transformer for Zero-shot Video Object Segmentation
Abstract: Recent leading zero-shot video object segmentation (ZVOS) works devote to integrating appearance and motion information by elaborately designing feature fusion modules and identically applying them in multiple feature stages. Our pre... | [
35979,
40263
] | Train |
15,958 | 24 | Title: Machine Learning for UAV Propeller Fault Detection based on a Hybrid Data Generation Model
Abstract: This paper describes the development of an on-board data-driven system that can monitor and localize the fault in a quadrotor unmanned aerial vehicle (UAV) and at the same time, evaluate the degree of damage of t... | [
22161
] | Train |
15,959 | 2 | Title: Sorting Strategies for Interactive Conflict Resolution in ASP
Abstract: Answer set programs in practice are often subject to change. This can lead to inconsistencies in the modified program due to conflicts between rules which are the results of the derivation of strongly complementary literals. To facilitate th... | [] | Test |
15,960 | 24 | Title: Optimal Scalarizations for Sublinear Hypervolume Regret
Abstract: Scalarization is a general technique that can be deployed in any multiobjective setting to reduce multiple objectives into one, such as recently in RLHF for training reward models that align human preferences. Yet some have dismissed this classica... | [] | Test |
15,961 | 30 | Title: Lift Yourself Up: Retrieval-augmented Text Generation with Self Memory
Abstract: With direct access to human-written reference as memory, retrieval-augmented generation has achieved much progress in a wide range of text generation tasks. Since better memory would typically prompt better generation~(we define thi... | [
20025,
9834,
33220,
27669
] | Train |
15,962 | 34 | Title: Fairness-aware Maximal Biclique Enumeration on Bipartite Graphs
Abstract: Maximal biclique enumeration is a fundamental problem in bipartite graph data analysis. Existing biclique enumeration methods mainly focus on non-attributed bipartite graphs and also ignore the fairness of graph attributes. In this paper, ... | [] | Train |
15,963 | 30 | Title: Backpack Language Models
Abstract: We present Backpacks: a new neural architecture that marries strong modeling performancewith an interface for interpretability and control. Backpacks learn multiple non-contextual sense vectors for each word in a vocabulary, and represent a word in a sequence as a context-depen... | [
34178
] | Train |
15,964 | 24 | Title: Comparison of Single- and Multi- Objective Optimization Quality for Evolutionary Equation Discovery
Abstract: Evolutionary differential equation discovery proved to be a tool to obtain equations with less a priori assumptions than conventional approaches, such as sparse symbolic regression over the complete poss... | [
38918
] | Test |
15,965 | 24 | Title: Performance of data-driven inner speech decoding with same-task EEG-fMRI data fusion and bimodal models
Abstract: Decoding inner speech from the brain signal via hybridisation of fMRI and EEG data is explored to investigate the performance benefits over unimodal models. Two different bimodal fusion approaches ar... | [] | Validation |
15,966 | 30 | Title: Toward Quantum Machine Translation of Syntactically Distinct Languages
Abstract: The present study aims to explore the feasibility of language translation using quantum natural language processing algorithms on noisy intermediate-scale quantum (NISQ) devices. Classical methods in natural language processing (NLP... | [] | Train |
15,967 | 16 | Title: On Advantages of Mask-level Recognition for Outlier-aware Segmentation
Abstract: Most dense recognition approaches bring a separate decision in each particular pixel. These approaches deliver competitive performance in usual closed-set setups. However, important applications in the wild typically require strong ... | [
20536,
44670,
29415
] | Train |
15,968 | 24 | Title: Theory of Mind as Intrinsic Motivation for Multi-Agent Reinforcement Learning
Abstract: The ability to model the mental states of others is crucial to human social intelligence, and can offer similar benefits to artificial agents with respect to the social dynamics induced in multi-agent settings. We present a m... | [
35624,
2689
] | Validation |
15,969 | 27 | Title: Robot motor learning shows emergence of frequency-modulated, robust swimming with an invariant Strouhal-number
Abstract: Fish locomotion emerges from a diversity of interactions among deformable structures, surrounding fluids and neuromuscular activations, i.e., fluid-structure interactions (FSI) controlled by f... | [] | Train |
15,970 | 4 | Title: FedDefender: Backdoor Attack Defense in Federated Learning
Abstract: Federated Learning (FL) is a privacy-preserving distributed machine learning technique that enables individual clients (e.g., user participants, edge devices, or organizations) to train a model on their local data in a secure environment and th... | [
20962
] | Train |
15,971 | 10 | Title: Robust Ordinal Regression for Subsets Comparisons with Interactions
Abstract: This paper is dedicated to a robust ordinal method for learning the preferences of a decision maker between subsets. The decision model, derived from Fishburn and LaValle (1996) and whose parameters we learn, is general enough to be co... | [] | Train |
15,972 | 24 | Title: Equivariant Message Passing Neural Network for Crystal Material Discovery
Abstract: Automatic material discovery with desired properties is a fundamental challenge for material sciences. Considerable attention has recently been devoted to generating stable crystal structures. While existing work has shown impres... | [] | Test |
15,973 | 24 | Title: Exposing Attention Glitches with Flip-Flop Language Modeling
Abstract: Why do large language models sometimes output factual inaccuracies and exhibit erroneous reasoning? The brittleness of these models, particularly when executing long chains of reasoning, currently seems to be an inevitable price to pay for th... | [
43201,
20546,
33220,
21880,
28809,
8106,
29419,
19727,
17169,
6261,
22103,
34936,
45695
] | Train |
15,974 | 16 | Title: Pinpointing Why Object Recognition Performance Degrades Across Income Levels and Geographies
Abstract: Despite impressive advances in object-recognition, deep learning systems' performance degrades significantly across geographies and lower income levels raising pressing concerns of inequity. Addressing such per... | [
13144,
27863,
15575
] | Test |
15,975 | 30 | Title: Analyzing Influential Factors in Human Preference Judgments via GPT-4
Abstract: Pairwise human judgments are pivotal in guiding large language models (LLMs) to generate outputs that align with human preferences. They are also often used in summarization evaluation, complementing existing automatic metrics. Despi... | [
28151,
39451,
5749,
24479
] | Train |
15,976 | 28 | Title: Joint Coding of eMBB and URLLC in Vehicle-to-Everything (V2X) Communications
Abstract: A point-to-point communication is considered where a roadside unite (RSU) wishes to simultaneously send messages of enhanced mobile broadband (eMBB) and ultra-reliable low-latency communication (URLLC) services to a vehicle. T... | [] | Train |
15,977 | 2 | Title: Hierarchical and Upstream-Downstream Composition of Stock and Flow Models
Abstract: The growing complexity of decision-making in public health and health care has motivated an increasing use of mathematical modeling. An important line of health modeling is based on stock&flow diagrams. Such modeling elevates tra... | [] | Train |
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