node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
36,678 | 3 | Title: Inside the Black Box: Detecting and Mitigating Algorithmic Bias across Racialized Groups in College Student-Success Prediction
Abstract: authors. Abstract: Colleges and universities are increasingly turning to algorithms that predict college-student success to inform various decisions, including those related to... | [] | Validation |
36,679 | 24 | Title: Training Energy-Based Models with Diffusion Contrastive Divergences
Abstract: Energy-Based Models (EBMs) have been widely used for generative modeling. Contrastive Divergence (CD), a prevailing training objective for EBMs, requires sampling from the EBM with Markov Chain Monte Carlo methods (MCMCs), which leads ... | [] | Train |
36,680 | 27 | Title: MeROS: SysML-Based Metamodel for ROS-Based Systems
Abstract: The complexity of today’s robot control systems implies difficulty in developing them efficiently and reliably. Systems engineering (SE) and frameworks come to help. The framework metamodels are needed to support the standardisation and correctness of ... | [
1790
] | Train |
36,681 | 27 | Title: Lang2LTL: Translating Natural Language Commands to Temporal Robot Task Specification
Abstract: Natural language provides a powerful modality to program robots to perform temporal tasks. Linear temporal logic (LTL) provides unambiguous semantics for formal descriptions of temporal tasks. However, existing approac... | [
11858,
27138,
38684
] | Train |
36,682 | 27 | Title: Context-Aware Planning and Environment-Aware Memory for Instruction Following Embodied Agents
Abstract: Accomplishing household tasks requires to plan step-by-step actions considering the consequences of previous actions. However, the state-of-the-art embodied agents often make mistakes in navigating the environ... | [
26527
] | Validation |
36,683 | 30 | Title: Constructing Multilingual Code Search Dataset Using Neural Machine Translation
Abstract: We create a multilingual code search dataset by translating the existing English dataset with a machine translation model and conduct a baseline experiment on a code search task. | [
15952
] | Train |
36,684 | 5 | Title: Analyzing I/O Performance of a Hierarchical HPC Storage System for Distributed Deep Learning
Abstract: Today, deep learning is an essential technology for our life. To solve more complex problems with deep learning, both sizes of training datasets and neural networks are increasing. To train a model with large d... | [] | Train |
36,685 | 30 | Title: Fillers in Spoken Language Understanding: Computational and Psycholinguistic Perspectives
Abstract: Disfluencies (i.e. interruptions in the regular flow of speech), are ubiquitous to spoken discourse. Fillers ("uh","um") are disfluencies that occur the most frequently compared to other kinds of disfluencies. Yet... | [
39405
] | Train |
36,686 | 16 | Title: Video Waterdrop Removal via Spatio-Temporal Fusion in Driving Scenes
Abstract: The waterdrops on windshields during driving can cause severe visual obstructions, which may lead to car accidents. Meanwhile, the waterdrops can also degrade the performance of a computer vision system in autonomous driving. To addre... | [
6621
] | Validation |
36,687 | 27 | Title: PAPRAS: Plug-And-Play Robotic Arm System
Abstract: This paper presents a novel robotic arm system, named PAPRAS (Plug-And-Play Robotic Arm System). PAPRAS consists of a portable robotic arm(s), docking mount(s), and software architecture including a control system. By analyzing the target task spaces at home, th... | [] | Train |
36,688 | 24 | Title: Differentially Private Sharpness-Aware Training
Abstract: Training deep learning models with differential privacy (DP) results in a degradation of performance. The training dynamics of models with DP show a significant difference from standard training, whereas understanding the geometric properties of private l... | [
23752,
7289,
14949,
28559
] | Train |
36,689 | 16 | Title: IdealGPT: Iteratively Decomposing Vision and Language Reasoning via Large Language Models
Abstract: The field of vision-and-language (VL) understanding has made unprecedented progress with end-to-end large pre-trained VL models (VLMs). However, they still fall short in zero-shot reasoning tasks that require mult... | [
10624,
37987,
33220,
42983,
6640,
41104,
19954,
6963,
10163,
29396,
45685,
3609,
19578,
33853,
1854,
15711
] | Validation |
36,690 | 24 | Title: CodeBPE: Investigating Subtokenization Options for Large Language Model Pretraining on Source Code
Abstract: Recent works have widely adopted large language model pretraining for source code, suggested source code-specific pretraining objectives and investigated the applicability of various Transformer-based lan... | [] | Train |
36,691 | 24 | Title: Gradient Descent with Linearly Correlated Noise: Theory and Applications to Differential Privacy
Abstract: We study gradient descent under linearly correlated noise. Our work is motivated by recent practical methods for optimization with differential privacy (DP), such as DP-FTRL, which achieve strong performanc... | [] | Validation |
36,692 | 24 | Title: Hyperparameter Learning under Data Poisoning: Analysis of the Influence of Regularization via Multiobjective Bilevel Optimization
Abstract: Machine learning (ML) algorithms are vulnerable to poisoning attacks, where a fraction of the training data is manipulated to deliberately degrade the algorithms' performanc... | [] | Test |
36,693 | 24 | Title: Interpretations of Domain Adaptations via Layer Variational Analysis
Abstract: Transfer learning is known to perform efficiently in many applications empirically, yet limited literature reports the mechanism behind the scene. This study establishes both formal derivations and heuristic analysis to formulate the ... | [] | Train |
36,694 | 10 | Title: Tweet Sentiment Extraction using Viterbi Algorithm with Transfer Learning
Abstract: Tweet sentiment extraction extracts the most significant portion of the sentence, determining whether the sentiment is positive or negative. This research aims to identify the part of tweet sentences that strikes any emotion. To ... | [] | Train |
36,695 | 30 | Title: Honey, I Shrunk the Language: Language Model Behavior at Reduced Scale
Abstract: In recent years, language models have drastically grown in size, and the abilities of these models have been shown to improve with scale. The majority of recent scaling laws studies focused on high-compute high-parameter count setti... | [
34178
] | Validation |
36,696 | 24 | Title: Online Learning Under A Separable Stochastic Approximation Framework
Abstract: We propose an online learning algorithm for a class of machine learning models under a separable stochastic approximation framework. The essence of our idea lies in the observation that certain parameters in the models are easier to o... | [] | Train |
36,697 | 16 | Title: Hardware Accelerators in Autonomous Driving
Abstract: Computing platforms in autonomous vehicles record large amounts of data from many sensors, process the data through machine learning models, and make decisions to ensure the vehicle's safe operation. Fast, accurate, and reliable decision-making is critical. T... | [] | Test |
36,698 | 24 | Title: Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning
Abstract: In goal-reaching reinforcement learning (RL), the optimal value function has a particular geometry, called quasimetric structure. This paper introduces Quasimetric Reinforcement Learning (QRL), a new RL method that utilizes quasimetr... | [
14083,
39479
] | Train |
36,699 | 24 | Title: Complete Neural Networks for Euclidean Graphs
Abstract: We propose a 2-WL-like geometric graph isomorphism test and prove it is complete when applied to Euclidean Graphs in $\mathbb{R}^3$. We then use recent results on multiset embeddings to devise an efficient geometric GNN model with equivalent separation powe... | [
37313,
34787,
15594,
10828,
12378
] | Train |
36,700 | 28 | Title: Iterative Sketching for Secure Coded Regression
Abstract: In this work, we propose methods for speeding up linear regression distributively, while ensuring security. We leverage randomized sketching techniques, and improve straggler resilience in asynchronous systems. Specifically, we apply a random orthonormal ... | [
19624,
21903
] | Train |
36,701 | 7 | Title: The Localized Subtraction Approach For EEG and MEG Forward Modeling
Abstract: In FEM-based EEG and MEG source analysis, the subtraction approach has been proposed to simulate sensor measurements generated by neural activity. While this approach possesses a rigorous foundation and produces accurate results, its m... | [] | Train |
36,702 | 30 | Title: SweCTRL-Mini: a data-transparent Transformer-based large language model for controllable text generation in Swedish
Abstract: We present SweCTRL-Mini, a large Swedish language model that can be used for inference and fine-tuning on a single consumer-grade GPU. The model is based on the CTRL architecture by Keska... | [] | Train |
36,703 | 24 | Title: Condensed Prototype Replay for Class Incremental Learning
Abstract: Incremental learning (IL) suffers from catastrophic forgetting of old tasks when learning new tasks. This can be addressed by replaying previous tasks' data stored in a memory, which however is usually prone to size limits and privacy leakage. R... | [] | Train |
36,704 | 24 | Title: A Contrastive Knowledge Transfer Framework for Model Compression and Transfer Learning
Abstract: Knowledge Transfer (KT) achieves competitive performance and is widely used for image classification tasks in model compression and transfer learning. Existing KT works transfer the information from a large model ("t... | [] | Train |
36,705 | 24 | Title: Enhancing Accuracy and Robustness through Adversarial Training in Class Incremental Continual Learning
Abstract: In real life, adversarial attack to deep learning models is a fatal security issue. However, the issue has been rarely discussed in a widely used class-incremental continual learning (CICL). In this p... | [] | Train |
36,706 | 28 | Title: Optimal Linear Precoder Design for MIMO-OFDM Integrated Sensing and Communications Based on Bayesian Cramér-Rao Bound
Abstract: In this paper, we investigate the fundamental limits of MIMO-OFDM integrated sensing and communications (ISAC) systems based on a Bayesian Cram\'er-Rao bound (BCRB) analysis. We derive ... | [
11664
] | Train |
36,707 | 34 | Title: Group Testing in Arbitrary Hypergraphs and Related Combinatorial Structures
Abstract: We consider a generalization of group testing where the potentially contaminated sets are the members of a given hypergraph ${\cal F}=(V,E)$. This generalization finds application in contexts where contaminations can be conditi... | [] | Train |
36,708 | 11 | Title: An Agent-Based Model for Poverty and Discrimination Policy-Making
Abstract: The deceleration of global poverty reduction in the last decades suggests that traditional redistribution policies are losing their effectiveness. Alternative ways to work towards the #1 United Nations Sustainable Development Goal (pover... | [] | Train |
36,709 | 30 | Title: Translate Meanings, Not Just Words: IdiomKB's Role in Optimizing Idiomatic Translation with Language Models
Abstract: To translate well, machine translation (MT) systems and general-purposed language models (LMs) need a deep understanding of both source and target languages and cultures. Therefore, idioms, with ... | [
18785,
33220,
45608,
32213,
13495,
35545,
16827
] | Train |
36,710 | 26 | Title: A Hybrid Membership Latent Distance Model for Unsigned and Signed Integer Weighted Networks
Abstract: Graph representation learning (GRL) has become a prominent tool for furthering the understanding of complex networks providing tools for network embedding, link prediction, and node classification. In this paper... | [] | Test |
36,711 | 36 | Title: A Generic Multi-Player Transformation Algorithm for Solving Large-Scale Zero-Sum Extensive-Form Adversarial Team Games
Abstract: Many recent practical and theoretical breakthroughs focus on adversarial team multi-player games (ATMGs) in ex ante correlation scenarios. In this setting, team members are allowed to ... | [] | Train |
36,712 | 6 | Title: XAI in Automated Fact-Checking? The Benefits Are Modest And There's No One-Explanation-Fits-All
Abstract: Fact-checking is a popular countermeasure against misinformation but the massive volume of information online has spurred active research in the automation of the task. Like expert fact-checking, it is not e... | [] | Test |
36,713 | 24 | Title: A Vulnerability of Attribution Methods Using Pre-Softmax Scores
Abstract: We discuss a vulnerability involving a category of attribution methods used to provide explanations for the outputs of convolutional neural networks working as classifiers. It is known that this type of networks are vulnerable to adversari... | [
8315
] | Train |
36,714 | 30 | Title: XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models
Abstract: Without proper safeguards, large language models will readily follow malicious instructions and generate toxic content. This motivates safety efforts such as red-teaming and large-scale feedback learning, which ... | [
10749,
33220,
17295,
10800,
4658,
43641,
25789
] | Test |
36,715 | 15 | Title: HighLight: Efficient and Flexible DNN Acceleration with Hierarchical Structured Sparsity
Abstract: Due to complex interactions among various deep neural network (DNN) optimization techniques, modern DNNs can have weights and activations that are dense or sparse with diverse sparsity degrees. To offer a good trad... | [] | Train |
36,716 | 25 | Title: Multi-pass Training and Cross-information Fusion for Low-resource End-to-end Accented Speech Recognition
Abstract: Low-resource accented speech recognition is one of the important challenges faced by current ASR technology in practical applications. In this study, we propose a Conformer-based architecture, calle... | [] | Train |
36,717 | 16 | Title: Towards Real-World Burst Image Super-Resolution: Benchmark and Method
Abstract: Despite substantial advances, single-image super-resolution (SISR) is always in a dilemma to reconstruct high-quality images with limited information from one input image, especially in realistic scenarios. In this paper, we establis... | [] | Validation |
36,718 | 16 | Title: CoDeF: Content Deformation Fields for Temporally Consistent Video Processing
Abstract: We present the content deformation field CoDeF as a new type of video representation, which consists of a canonical content field aggregating the static contents in the entire video and a temporal deformation field recording t... | [
6560,
20960,
42272,
11655,
15983,
17526,
34074,
541
] | Test |
36,719 | 24 | Title: Execution-based Code Generation using Deep Reinforcement Learning
Abstract: The utilization of programming language (PL) models, pre-trained on large-scale code corpora, as a means of automating software engineering processes has demonstrated considerable potential in streamlining various code generation tasks s... | [
10785,
19746,
31145,
41649,
6962,
16436,
46006,
16855
] | Validation |
36,720 | 16 | Title: A Survey of Advanced Computer Vision Techniques for Sports
Abstract: Computer Vision developments are enabling significant advances in many fields, including sports. Many applications built on top of Computer Vision technologies, such as tracking data, are nowadays essential for every top-level analyst, coach, a... | [] | Test |
36,721 | 9 | Title: The Linear Correlation of P and NP
Abstract: $P \overset{\text{?}}{=} NP$ or $P\ vs\ NP$ is the core problem in computational complexity theory. In this paper, we proposed a definition of linear correlation of derived matrix and system, and discussed the linear correlation of $P$ and $NP$. We draw a conclusion t... | [] | Validation |
36,722 | 14 | Title: Algorithm for Connectivity Queries on Real Algebraic Curves
Abstract: We consider the problem of answering connectivity queries on a real algebraic curve. The curve is given as the real trace of an algebraic curve, assumed to be in generic position, and being defined by some rational parametrizations. The query ... | [] | Validation |
36,723 | 16 | Title: Just Noticeable Visual Redundancy Forecasting: A Deep Multimodal-driven Approach
Abstract: Just noticeable difference (JND) refers to the maximum visual change that human eyes cannot perceive, and it has a wide range of applications in multimedia systems. However, most existing JND approaches only focus on a sin... | [] | Train |
36,724 | 23 | Title: On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Code
Abstract: Pre-trained language models (PLMs) have become a prevalent technique in deep learning for code, utilizing a two-stage pre-training and fine-tuning procedure to acquire general knowledge abou... | [
18984,
12706,
43064,
18550
] | Test |
36,725 | 24 | Title: Machine Unlearning: Solutions and Challenges
Abstract: Machine learning models may inadvertently memorize sensitive, unauthorized, or malicious data, posing risks of privacy violations, security breaches, and performance deterioration. To address these issues, machine unlearning has emerged as a critical techniq... | [
40468,
4764,
3349,
19686
] | Train |
36,726 | 24 | Title: On Collaboration in Distributed Parameter Estimation with Resource Constraints
Abstract: We study sensor/agent data collection and collaboration policies for parameter estimation, accounting for resource constraints and correlation between observations collected by distinct sensors/agents. Specifically, we consi... | [] | Train |
36,727 | 27 | Title: UAV 3-D path planning based on MOEA/D with adaptive areal weight adjustment
Abstract: Unmanned aerial vehicles (UAVs) are desirable platforms for time-efficient and cost-effective task execution. 3-D path planning is a key challenge for task decision-making. This paper proposes an improved multi-objective evolut... | [] | Train |
36,728 | 8 | Title: Ensuring Reliable and Predictable Behavior of IEEE 802.1CB Frame Replication and Elimination
Abstract: Ultra-reliable and low-latency communication has received significant research attention. A key part of this evolution are the Time-Sensitive Networking (TSN) standards, which extend Ethernet with real-time mec... | [] | Validation |
36,729 | 27 | Title: Learning Evacuee Models from Robot-Guided Emergency Evacuation Experiments
Abstract: Recent research has examined the possibility of using robots to guide evacuees to safe exits during emergencies. Yet, there are many factors that can impact a person's decision to follow a robot. Being able to model how an evacu... | [] | Train |
36,730 | 24 | Title: Manifold Learning by Mixture Models of VAEs for Inverse Problems
Abstract: Representing a manifold of very high-dimensional data with generative models has been shown to be computationally efficient in practice. However, this requires that the data manifold admits a global parameterization. In order to represent... | [
45168,
3114
] | Test |
36,731 | 16 | Title: DiffRate : Differentiable Compression Rate for Efficient Vision Transformers
Abstract: Token compression aims to speed up large-scale vision transformers (e.g. ViTs) by pruning (dropping) or merging tokens. It is an important but challenging task. Although recent advanced approaches achieved great success, they ... | [
15918
] | Test |
36,732 | 27 | Title: Using LOR Syringe Probes as a Method to Reduce Errors in Epidural Analgesia - a Robotic Simulation Study
Abstract: In epidural analgesia, anesthetics are injected into the epidural space, to block signals from traveling through nerve fibres in the spinal cord or near it. To do so, the anesthesiologist inserts a ... | [
4421
] | Train |
36,733 | 24 | Title: Towards Few-shot Coordination: Revisiting Ad-hoc Teamplay Challenge In the Game of Hanabi
Abstract: Cooperative Multi-agent Reinforcement Learning (MARL) algorithms with Zero-Shot Coordination (ZSC) have gained significant attention in recent years. ZSC refers to the ability of agents to coordinate zero-shot (wi... | [] | Train |
36,734 | 5 | Title: Mixed-Precision Random Projection for RandNLA on Tensor Cores
Abstract: Random projection can reduce the dimension of data while capturing its structure and is a fundamental tool for machine learning, signal processing, and information retrieval, which deal with a large amount of data today. RandNLA (Randomized ... | [
18919
] | Train |
36,735 | 24 | Title: GNOT: A General Neural Operator Transformer for Operator Learning
Abstract: Learning partial differential equations' (PDEs) solution operators is an essential problem in machine learning. However, there are several challenges for learning operators in practical applications like the irregular mesh, multiple inpu... | [
32547,
37318,
43786,
27158,
40857
] | Train |
36,736 | 30 | Title: Towards an On-device Agent for Text Rewriting
Abstract: Large Language Models (LLMs) have demonstrated impressive capabilities for text rewriting. Nonetheless, the large sizes of these models make them impractical for on-device inference, which would otherwise allow for enhanced privacy and economical inference.... | [
9280,
13345,
13700,
12741,
10598,
1802,
40785,
5522,
41554,
29396
] | Test |
36,737 | 24 | Title: Solving the Kidney-Exchange Problem via Graph Neural Networks with No Supervision
Abstract: This paper introduces a new learning-based approach for approximately solving the Kidney-Exchange Problem (KEP), an NP-hard problem on graphs. The problem consists of, given a pool of kidney donors and patients waiting fo... | [] | Train |
36,738 | 30 | Title: Towards Reliable Misinformation Mitigation: Generalization, Uncertainty, and GPT-4
Abstract: Misinformation poses a critical societal challenge, and current approaches have yet to produce an effective solution. We propose focusing on generalization, soft classification, and leveraging recent large language model... | [
39903,
40135,
28807
] | Train |
36,739 | 16 | Title: Explicit Temporal Embedding in Deep Generative Latent Models for Longitudinal Medical Image Synthesis
Abstract: Medical imaging plays a vital role in modern diagnostics and treatment. The temporal nature of disease or treatment progression often results in longitudinal data. Due to the cost and potential harm, a... | [] | Validation |
36,740 | 17 | Title: UniSG^GA: A 3D scenegraph powered by Geometric Algebra unifying geometry, behavior and GNNs towards generative AI
Abstract: This work presents the introduction of UniSG^GA, a novel integrated scenegraph structure, that to incorporates behavior and geometry data on a 3D scene. It is specifically designed to seaml... | [
34988
] | Train |
36,741 | 16 | Title: Prompt-Free Diffusion: Taking "Text" out of Text-to-Image Diffusion Models
Abstract: Text-to-image (T2I) research has grown explosively in the past year, owing to the large-scale pre-trained diffusion models and many emerging personalization and editing approaches. Yet, one pain point persists: the text prompt e... | [
15713,
30402,
23563,
5932,
11820,
20174,
16463,
15983,
24624,
20435,
17526,
34009,
34074
] | Test |
36,742 | 34 | Title: Distinct Elements in Streams: An Algorithm for the (Text) Book
Abstract: Given a data stream $\mathcal{A} = \langle a_1, a_2, \ldots, a_m \rangle$ of $m$ elements where each $a_i \in [n]$, the Distinct Elements problem is to estimate the number of distinct elements in $\mathcal{A}$.Distinct Elements has been a s... | [
9137
] | Train |
36,743 | 24 | Title: Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation
Abstract: Learning the underlying distribution of molecular graphs and generating high-fidelity samples is a fundamental research problem in drug discovery and material science. However, accurately modeling distribution and r... | [
8308,
45828
] | Train |
36,744 | 30 | Title: A Reference-Less Quality Metric for Automatic Speech Recognition Via Contrastive-Learning of A Multi-Language Model with Self-Supervision
Abstract: The common standard for quality evaluation of automatic speech recognition (ASR) systems is reference-based metrics such as the Word Error Rate (WER), computed using... | [] | Train |
36,745 | 16 | Title: Attention Mechanism for Contrastive Learning in GAN-based Image-to-Image Translation
Abstract: Using real road testing to optimize autonomous driving algorithms is time-consuming and capital-intensive. To solve this problem, we propose a GAN-based model that is capable of generating high-quality images across di... | [] | Train |
36,746 | 30 | Title: DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning
Abstract: Prompt tuning (PT), where a small amount of trainable soft (continuous) prompt vectors is affixed to the input of language models (LM), has shown promising results across various tasks and models for parameter-efficient fine-tuning (PEF... | [
44482,
36356,
27309,
2801,
37463,
43641
] | Train |
36,747 | 6 | Title: User-centric AIGC products: Explainable Artificial Intelligence and AIGC products
Abstract: Generative AI tools, such as ChatGPT and Midjourney, are transforming artistic creation as AI-art integration advances. However, Artificial Intelligence Generated Content (AIGC) tools face user experience challenges, nece... | [] | Test |
36,748 | 24 | Title: Neural Lumped Parameter Differential Equations with Application in Friction-Stir Processing
Abstract: Lumped parameter methods aim to simplify the evolution of spatially-extended or continuous physical systems to that of a"lumped"element representative of the physical scales of the modeled system. For systems wh... | [] | Train |
36,749 | 16 | Title: Illicit item detection in X-ray images for security applications
Abstract: Automated detection of contraband items in X-ray images can significantly increase public safety, by enhancing the productivity and alleviating the mental load of security officers in airports, subways, customs/post offices, etc. The larg... | [] | Train |
36,750 | 18 | Title: Universal Mechanical Polycomputation in Granular Matter
Abstract: Unconventional computing devices are increasingly of interest as they can operate in environments hostile to silicon-based electronics, or compute in ways that traditional electronics cannot. Mechanical computers, wherein information processing is... | [] | Train |
36,751 | 30 | Title: ChatGPT-4 Outperforms Experts and Crowd Workers in Annotating Political Twitter Messages with Zero-Shot Learning
Abstract: This paper assesses the accuracy, reliability and bias of the Large Language Model (LLM) ChatGPT-4 on the text analysis task of classifying the political affiliation of a Twitter poster base... | [
514,
8724,
3861,
6422,
10009,
30891,
37931,
6061,
35376,
28978,
28980,
32567,
25795,
13510,
29258,
27212,
18638,
16464,
39642,
11882,
25075,
16758,
35580
] | Train |
36,752 | 24 | Title: INT-FP-QSim: Mixed Precision and Formats For Large Language Models and Vision Transformers
Abstract: The recent rise of large language models (LLMs) has resulted in increased efforts towards running LLMs at reduced precision. Running LLMs at lower precision supports resource constraints and furthers their democr... | [
41244
] | Train |
36,753 | 6 | Title: Privacy, Security, and Usability Tradeoffs of Telehealth from Practitioners' Perspectives
Abstract: The COVID-19 pandemic has significantly transformed the healthcare sector, with telehealth services being among the most prominent changes. The adoption of telehealth services, however, has raised new challenges, ... | [] | Test |
36,754 | 24 | Title: Large Language Model Programs
Abstract: In recent years, large pre-trained language models (LLMs) have demonstrated the ability to follow instructions and perform novel tasks from a few examples. The possibility to parameterise an LLM through such in-context examples widens their capability at a much lower cost ... | [
40610,
40099,
32966,
45362,
32410,
4027
] | Train |
36,755 | 6 | Title: Where Does My Model Underperform? A Human Evaluation of Slice Discovery Algorithms
Abstract: Machine learning (ML) models that achieve high average accuracy can still underperform on semantically coherent subsets (i.e."slices") of data. This behavior can have significant societal consequences for the safety or b... | [
23456,
8757,
20351
] | Validation |
36,756 | 11 | Title: Learning to Participate through Trading of Reward Shares
Abstract: Enabling autonomous agents to act cooperatively is an important step to integrate artificial intelligence in our daily lives. While some methods seek to stimulate cooperation by letting agents give rewards to others, in this paper we propose a me... | [] | Test |
36,757 | 16 | Title: AerialVLN: Vision-and-Language Navigation for UAVs
Abstract: Recently emerged Vision-and-Language Navigation (VLN) tasks have drawn significant attention in both computer vision and natural language processing communities. Existing VLN tasks are built for agents that navigate on the ground, either indoors or out... | [] | Validation |
36,758 | 16 | Title: Multitemporal SAR images change detection and visualization using RABASAR and simplified GLR
Abstract: Understanding the state of changed areas requires that precise information be given about the changes. Thus, detecting different kinds of changes is important for land surface monitoring. SAR sensors are ideal ... | [] | Validation |
36,759 | 16 | Title: DialogPaint: A Dialog-based Image Editing Model
Abstract: We present DialogPaint, an innovative framework that employs an interactive conversational approach for image editing. The framework comprises a pretrained dialogue model (Blenderbot) and a diffusion model (Stable Diffusion). The dialogue model engages in... | [
7078
] | Train |
36,760 | 5 | Title: Longer Is Shorter: Making Long Paths to Improve the Worst-Case Response Time of DAG Tasks
Abstract: DAG (directed acyclic graph) tasks are widely used to model parallel real-time workload. The real-time performance of a DAG task not only depends on its total workload, but also its graph structure. Intuitively, w... | [] | Train |
36,761 | 4 | Title: Development of a Multi-purpose Fuzzer to Perform Assessment as Input to a Cybersecurity Risk Assessment and Analysis System
Abstract: Fuzzing is utilized for testing software and systems for cybersecurity risk via the automated adaptation of inputs. It facilitates the identification of software bugs and misconfi... | [] | Validation |
36,762 | 24 | Title: Permutation-Invariant Set Autoencoders with Fixed-Size Embeddings for Multi-Agent Learning
Abstract: The problem of permutation-invariant learning over set representations is particularly relevant in the field of multi-agent systems -- a few potential applications include unsupervised training of aggregation fun... | [] | Train |
36,763 | 24 | Title: Computational Complexity of Detecting Proximity to Losslessly Compressible Neural Network Parameters
Abstract: To better understand complexity in neural networks, we theoretically investigate the idealised phenomenon of lossless network compressibility, whereby an identical function can be implemented with a sma... | [] | Train |
36,764 | 10 | Title: RBA-GCN: Relational Bilevel Aggregation Graph Convolutional Network for Emotion Recognition
Abstract: Emotion recognition in conversation (ERC) has received increasing attention from researchers due to its wide range of applications. As conversation has a natural graph structure, numerous approaches used to mode... | [
3245
] | Validation |
36,765 | 23 | Title: Verification of Distributed Artificial Intelligence Systems in Bioinformatics
Abstract: Software is a great enabler for a number of projects that otherwise would be impossible to perform. Such projects include Space Exploration, Weather Modeling, Genome Projects, and many others. It is critical that software aid... | [] | Validation |
36,766 | 31 | Title: CREDENCE: Counterfactual Explanations for Document Ranking
Abstract: Towards better explainability in the field of information retrieval, we present CREDENCE, an interactive tool capable of generating counterfactual explanations for document rankers. Embracing the unique properties of the ranking problem, we pre... | [] | Train |
36,767 | 24 | Title: Information-Ordered Bottlenecks for Adaptive Semantic Compression
Abstract: We present the information-ordered bottleneck (IOB), a neural layer designed to adaptively compress data into latent variables ordered by likelihood maximization. Without retraining, IOB nodes can be truncated at any bottleneck width, ca... | [] | Test |
36,768 | 16 | Title: DualGenerator: Information Interaction-Based Generative Network for Point Cloud Completion
Abstract: Point cloud completion estimates complete shapes from incomplete point clouds to obtain higher-quality point cloud data. Most existing methods only consider global object features, ignoring spatial and semantic i... | [] | Train |
36,769 | 30 | Title: Towards Vision-Language Mechanistic Interpretability: A Causal Tracing Tool for BLIP
Abstract: Mechanistic interpretability seeks to understand the neural mechanisms that enable specific behaviors in Large Language Models (LLMs) by leveraging causality-based methods. While these approaches have identified neural... | [
13349,
29477,
43560,
7758,
4434,
38834,
22133,
23193,
46109
] | Train |
36,770 | 20 | Title: Combinatorial Designs Meet Hypercliques: Higher Lower Bounds for Klee's Measure Problem and Related Problems in Dimensions d≥4
Abstract: Klee's measure problem (computing the volume of the union of $n$ axis-parallel boxes in $\mathbb{R}^d$) is well known to have $n^{\frac{d}{2}\pm o(1)}$-time algorithms (Overmar... | [] | Train |
36,771 | 6 | Title: The Systematic Review-lution: A Manifesto to Promote Rigour and Inclusivity in Research Synthesis
Abstract: The field of human-computer interaction (HCI) is maturing. Systematic reviews, a staple of many disciplines, play an important and often essential role in how each field contributes to human knowledge. On ... | [] | Train |
36,772 | 16 | Title: Disaster Anomaly Detector via Deeper FCDDs for Explainable Initial Responses
Abstract: Extreme natural disasters can have devastating effects on both urban and rural areas. In any disaster event, an initial response is the key to rescue within 72 hours and prompt recovery. During the initial stage of disaster re... | [
19153
] | Train |
36,773 | 37 | Title: PrivLava: Synthesizing Relational Data with Foreign Keys under Differential Privacy
Abstract: Answering database queries while preserving privacy is an important problem that has attracted considerable research attention in recent years. A canonical approach to this problem is to use synthetic data. That is, we ... | [
45593
] | Test |
36,774 | 16 | Title: MotionGPT: Human Motion as a Foreign Language
Abstract: Though the advancement of pre-trained large language models unfolds, the exploration of building a unified model for language and other multi-modal data, such as motion, remains challenging and untouched so far. Fortunately, human motion displays a semantic... | [
10624,
30243,
13700,
19013,
12489,
15030,
5784,
23545,
17178,
32856
] | Train |
36,775 | 27 | Title: Decentralized Motor Skill Learning for Complex Robotic Systems
Abstract: Reinforcement learning (RL) has achieved remarkable success in complex robotic systems (eg. quadruped locomotion). In previous works, the RL-based controller was typically implemented as a single neural network with concatenated observation... | [
37014
] | Train |
36,776 | 23 | Title: Measuring Improvement of F1-Scores in Detection of Self-Admitted Technical Debt
Abstract: Artificial Intelligence and Machine Learning have witnessed rapid, significant improvements in Natural Language Processing (NLP) tasks. Utilizing Deep Learning, researchers have taken advantage of repository comments in Sof... | [] | Train |
36,777 | 16 | Title: Run Like a Girl! Sports-Related Gender Bias in Language and Vision
Abstract: Gender bias in Language and Vision datasets and models has the potential to perpetuate harmful stereotypes and discrimination. We analyze gender bias in two Language and Vision datasets. Consistent with prior work, we find that both dat... | [] | Validation |
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