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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|---|---|---|---|---|
44,078 | 24 | Title: Fighting the disagreement in Explainable Machine Learning with consensus
Abstract: Machine learning (ML) models are often valued by the accuracy of their predictions. However, in some areas of science, the inner workings of models are as relevant as their accuracy. To understand how ML models work internally, th... | [] | Train |
44,079 | 6 | Title: IDN Authoring - a design case
Abstract: In this text, we consider the authoring of interactive digital narratives (IDNs) as a system of interwoven creative processes and look at it as a design process. The aim is to better understand the structural, aesthetic and interactive concepts authoring has to address, ho... | [
36318
] | Train |
44,080 | 16 | Title: Semi-Automated Segmentation of Geoscientific Data Using Superpixels
Abstract: Geological processes determine the distribution of resources such as critical minerals, water, and geothermal energy. However, direct observation of geology is often prevented by surface cover such as overburden or vegetation. In such ... | [] | Train |
44,081 | 24 | Title: Feature-Learning Networks Are Consistent Across Widths At Realistic Scales
Abstract: We study the effect of width on the dynamics of feature-learning neural networks across a variety of architectures and datasets. Early in training, wide neural networks trained on online data have not only identical loss curves ... | [] | Train |
44,082 | 3 | Title: ACROCPoLis: A Descriptive Framework for Making Sense of Fairness
Abstract: Fairness is central to the ethical and responsible development and use of AI systems, with a large number of frameworks and formal notions of algorithmic fairness being available. However, many of the fairness solutions proposed revolve a... | [
31220
] | Train |
44,083 | 30 | Title: The flow of ideas in word embeddings
Abstract: The flow of ideas has been extensively studied by physicists, psychologists, and machine learning engineers. This paper adopts specific tools from microrheology to investigate the similarity-based flow of ideas. We introduce a random walker in word embeddings and st... | [] | Train |
44,084 | 8 | Title: Engineering and Experimentally Benchmarking Open Source MQTT Broker Implementations
Abstract: The Message Queuing Telemetry Transport (MQTT) protocol is one of the most widely used IoT protocol solutions. In this work, we are especially interested in open-source MQTT Broker implementations (such as Mosquitto, EM... | [] | Train |
44,085 | 6 | Title: What Exactly is an Insight? A Literature Review
Abstract: Insights are often considered the ideal outcome of visual analysis sessions. However, there is no single definition of what an insight is. Some scholars define insights as correlations, while others define them as hypotheses or aha moments. This lack of a... | [] | Validation |
44,086 | 16 | Title: Continuity-Aware Latent Interframe Information Mining for Reliable UAV Tracking
Abstract: Unmanned aerial vehicle (UAV) tracking is crucial for autonomous navigation and has broad applications in robotic automation fields. However, reliable UAV tracking remains a challenging task due to various difficulties like... | [
14051
] | Train |
44,087 | 30 | Title: Examining the Emergence of Deductive Reasoning in Generative Language Models
Abstract: We conduct a preliminary inquiry into the ability of generative transformer models to deductively reason from premises provided. We observe notable differences in the performance of models coming from different training setups... | [] | Test |
44,088 | 23 | Title: Architecting Safer Autonomous Aviation Systems
Abstract: The aviation literature gives relatively little guidance to practitioners about the specifics of architecting systems for safety, particularly the impact of architecture on allocating safety requirements, or the relative ease of system assurance resulting ... | [
858,
4454
] | Train |
44,089 | 27 | Title: An Efficient Trajectory Planner for Car-like Robots on Uneven Terrain
Abstract: Autonomous navigation of ground robots on uneven terrain is being considered in more and more tasks. However, uneven terrain will bring two problems to motion planning: how to assess the traversability of the terrain and how to cope ... | [
16142,
3047
] | Train |
44,090 | 24 | Title: Federated Learning on Non-iid Data via Local and Global Distillation
Abstract: Most existing federated learning algorithms are based on the vanilla FedAvg scheme. However, with the increase of data complexity and the number of model parameters, the amount of communication traffic and the number of iteration roun... | [] | Train |
44,091 | 37 | Title: TS-Cabinet: Hierarchical Storage for Cloud-Edge-End Time-series Database
Abstract: Hierarchical data storage is crucial for cloud-edge-end time-series database. Efficient hierarchical storage will directly reduce the storage space of local databases at each side and improve the access hit rate of data. However, ... | [] | Train |
44,092 | 24 | Title: Hodge-Aware Contrastive Learning
Abstract: Simplicial complexes prove effective in modeling data with multiway dependencies, such as data defined along the edges of networks or within other higher-order structures. Their spectrum can be decomposed into three interpretable subspaces via the Hodge decomposition, r... | [] | Test |
44,093 | 6 | Title: Pseudo-online framework for BCI evaluation: A MOABB perspective
Abstract: Objective: BCI (Brain-Computer Interface) technology operates in three modes: online, offline, and pseudo-online. In the online mode, real-time EEG data is constantly analyzed. In offline mode, the signal is acquired and processed afterwar... | [
35043
] | Validation |
44,094 | 16 | Title: MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation
Abstract: Unsupervised domain adaption has been widely adopted in tasks with scarce annotated data. Unfortunately, mapping the target-domain distribution to the source-domain unconditionally may distort the essential structural information... | [] | Train |
44,095 | 16 | Title: Models See Hallucinations: Evaluating the Factuality in Video Captioning
Abstract: Video captioning aims to describe events in a video with natural language. In recent years, many works have focused on improving captioning models' performance. However, like other text generation tasks, it risks introducing factu... | [
42747,
35580
] | Train |
44,096 | 16 | Title: MixDehazeNet : Mix Structure Block For Image Dehazing Network
Abstract: Image dehazing is a typical task in the low-level vision field. Previous studies verified the effectiveness of the large convolutional kernel and attention mechanism in dehazing. However, there are two drawbacks: the multi-scale properties o... | [] | Validation |
44,097 | 3 | Title: Thinking Upstream: Ethics and Policy Opportunities in AI Supply Chains
Abstract: After children were pictured sewing its running shoes in the early 1990s, Nike at first disavowed the"working conditions in its suppliers' factories", before public pressure led them to take responsibility for ethics in their upstre... | [
27926
] | Test |
44,098 | 3 | Title: Super-forecasting the ‘technological singularity’ risks from artificial intelligence
Abstract: nan | [] | Train |
44,099 | 24 | Title: Optimization Design for Federated Learning in Heterogeneous 6G Networks
Abstract: With the rapid advancement of 5G networks, billions of smart Internet of Things (IoT) devices along with an enormous amount of data are generated at the network edge. While still at an early age, it is expected that the evolving 6G... | [
10142
] | Train |
44,100 | 16 | Title: DreamHuman: Animatable 3D Avatars from Text
Abstract: We present DreamHuman, a method to generate realistic animatable 3D human avatar models solely from textual descriptions. Recent text-to-3D methods have made considerable strides in generation, but are still lacking in important aspects. Control and often spa... | [
32384,
13186,
28144,
6739,
28532,
42645,
34167
] | Train |
44,101 | 10 | Title: Towards Self-organizing Personal Knowledge Assistants in Evolving Corporate Memories
Abstract: This paper presents a retrospective overview of a decade of research in our department towards self-organizing personal knowledge assistants in evolving corporate memories. Our research is typically inspired by real-wo... | [] | Train |
44,102 | 24 | Title: Special Session: Approximation and Fault Resiliency of DNN Accelerators
Abstract: Deep Learning, and in particular, Deep Neural Network (DNN) is nowadays widely used in many scenarios, including safety-critical applications such as autonomous driving. In this context, besides energy efficiency and performance, r... | [
12490,
30637,
5438
] | Train |
44,103 | 30 | Title: Recurrent Attention Networks for Long-text Modeling
Abstract: Self-attention-based models have achieved remarkable progress in short-text mining. However, the quadratic computational complexities restrict their application in long text processing. Prior works have adopted the chunking strategy to divide long doc... | [] | Test |
44,104 | 16 | Title: Revisiting Hidden Representations in Transfer Learning for Medical Imaging
Abstract: While a key component to the success of deep learning is the availability of massive amounts of training data, medical image datasets are often limited in diversity and size. Transfer learning has the potential to bridge the gap... | [] | Validation |
44,105 | 30 | Title: CARE: Collaborative AI-Assisted Reading Environment
Abstract: Recent years have seen impressive progress in AI-assisted writing, yet the developments in AI-assisted reading are lacking. We propose inline commentary as a natural vehicle for AI-based reading assistance, and present CARE: the first open integrated ... | [] | Train |
44,106 | 27 | Title: Uncertainty-driven Affordance Discovery for Efficient Robotics Manipulation
Abstract: Robotics affordances, providing information about what actions can be taken in a given situation, can aid robotics manipulation. However, learning about affordances requires expensive large annotated datasets of interactions or... | [
10943,
13700,
22518,
8983
] | Test |
44,107 | 31 | Title: L^2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible Representations
Abstract: First-stage retrieval is a critical task that aims to retrieve relevant document candidates from a large-scale collection. While existing retrieval models have achieved impressive performance, they are mostly stu... | [
41033,
10783
] | Train |
44,108 | 34 | Title: Sparse Partial-Tracing
Abstract: Matrices and more generally multidimensional arrays, form the backbone of computational studies. In this paper we demonstrate increases in computational efficiency by performing partial-tracing/tensor-contractions on sparse-arrays. It was shown that sparse-arrays are really 3 den... | [] | Test |
44,109 | 24 | Title: TaylorPDENet: Learning PDEs from non-grid Data
Abstract: Modeling data obtained from dynamical systems has gained attention in recent years as a challenging task for machine learning models. Previous approaches assume the measurements to be distributed on a grid. However, for real-world applications like weather... | [] | Train |
44,110 | 8 | Title: Nautilus: A Framework for Cross-Layer Cartography of Submarine Cables and IP Links
Abstract: Submarine cables constitute the backbone of the Internet. However, these critical infrastructure components are vulnerable to several natural and man-made threats, and during failures, are difficult to repair in their re... | [] | Train |
44,111 | 16 | Title: RRSIS: Referring Remote Sensing Image Segmentation
Abstract: Localizing desired objects from remote sensing images is of great use in practical applications. Referring image segmentation, which aims at segmenting out the objects to which a given expression refers, has been extensively studied in natural images. ... | [
9483
] | Train |
44,112 | 30 | Title: The Saudi Privacy Policy Dataset
Abstract: This paper introduces the Saudi Privacy Policy Dataset, a diverse compilation of Arabic privacy policies from various sectors in Saudi Arabia, annotated according to the 10 principles of the Personal Data Protection Law (PDPL); the PDPL was established to be compatible ... | [] | Train |
44,113 | 24 | Title: Neural Boltzmann Machines
Abstract: Conditional generative models are capable of using contextual information as input to create new imaginative outputs. Conditional Restricted Boltzmann Machines (CRBMs) are one class of conditional generative models that have proven to be especially adept at modeling noisy disc... | [] | Test |
44,114 | 30 | Title: Adapting to the Low-Resource Double-Bind: Investigating Low-Compute Methods on Low-Resource African Languages
Abstract: Many natural language processing (NLP) tasks make use of massively pre-trained language models, which are computationally expensive. However, access to high computational resources added to the... | [] | Validation |
44,115 | 25 | Title: From English to More Languages: Parameter-Efficient Model Reprogramming for Cross-Lingual Speech Recognition
Abstract: In this work, we propose a new parameter-efficient learning framework based on neural model reprogramming for cross-lingual speech recognition, which can \textbf{re-purpose} well-trained English... | [
12579,
43414
] | Train |
44,116 | 30 | Title: AI based approach to Trailer Generation for Online Educational Courses
Abstract: In this paper, we propose an AI based approach to Trailer Generation in the form of short videos for online educational courses. Trailers give an overview of the course to the learners and help them make an informed choice about the... | [] | Validation |
44,117 | 27 | Title: Situational Adaptive Motion Prediction for Firefighting Squads in Indoor Search and Rescue
Abstract: Firefighting is a complex, yet low automated task. To mitigate ergonomic and safety related risks on the human operators, robots could be deployed in a collaborative approach. To allow human-robot teams in firefi... | [] | Train |
44,118 | 2 | Title: The physical Church–Turing thesis and non-deterministic computation over the real numbers
Abstract: On the real numbers, the notions of a semi-decidable relation and that of an effectively enumerable relation differ. The second only seems to be adequate to express, in an algorithmic way, non-deterministic physic... | [] | Train |
44,119 | 24 | Title: MultiZoo & MultiBench: A Standardized Toolkit for Multimodal Deep Learning
Abstract: Learning multimodal representations involves integrating information from multiple heterogeneous sources of data. In order to accelerate progress towards understudied modalities and tasks while ensuring real-world robustness, we... | [] | Test |
44,120 | 26 | Title: Lady and the Tramp Nextdoor: Online Manifestations of Economic Inequalities in the Nextdoor Social Network
Abstract: From health to education, income impacts a huge range of life choices. Earlier research has leveraged data from online social networks to study precisely this impact. In this paper, we ask the opp... | [
32977
] | Train |
44,121 | 30 | Title: Learning by Analogy: Diverse Questions Generation in Math Word Problem
Abstract: Solving math word problem (MWP) with AI techniques has recently made great progress with the success of deep neural networks (DNN), but it is far from being solved. We argue that the ability of learning by analogy is essential for a... | [
23267
] | Train |
44,122 | 24 | Title: Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs
Abstract: Graph neural architecture search (NAS) has gained popularity in automatically designing powerful graph neural networks (GNNs) with relieving human efforts. However, existing graph NAS methods mainly work under the homophily assumption and ... | [
32869,
5006,
18511,
39412,
38493
] | Train |
44,123 | 13 | Title: Stochastic Domain Wall-Magnetic Tunnel Junction Artificial Neurons for Noise-Resilient Spiking Neural Networks
Abstract: The spatiotemporal nature of neuronal behavior in spiking neural networks (SNNs) makes SNNs promising for edge applications that require high energy efficiency. To realize SNNs in hardware, sp... | [] | Test |
44,124 | 30 | Title: Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty
Abstract: Open Information Extraction (OIE) task aims at extracting structured facts from unstructured text, typically in the form of (subject, relation, object) triples. Despite the potential of large language... | [
24834,
10224,
11476,
31189,
34423
] | Train |
44,125 | 37 | Title: NHtapDB: Native HTAP Databases
Abstract: Native database (1) provides a near-data machine learning framework to facilitate generating real-time business insight, and predefined change thresholds will trigger online training and deployment of new models, and (2) offers a mixed-format store to guarantee the perfor... | [] | Train |
44,126 | 16 | Title: Unpaired Multi-domain Attribute Translation of 3D Facial Shapes with a Square and Symmetric Geometric Map
Abstract: While impressive progress has recently been made in image-oriented facial attribute translation, shape-oriented 3D facial attribute translation remains an unsolved issue. This is primarily limited ... | [] | Validation |
44,127 | 24 | Title: The Generalization Error of Stochastic Mirror Descent on Over-Parametrized Linear Models
Abstract: Despite being highly over-parametrized, and having the ability to fully interpolate the training data, deep networks are known to generalize well to unseen data. It is now understood that part of the reason for thi... | [] | Test |
44,128 | 16 | Title: FROD: Robust Object Detection for Free
Abstract: Object detection is a vital task in computer vision and has become an integral component of numerous critical systems. However, state-of-the-art object detectors, similar to their classification counterparts, are susceptible to small adversarial perturbations that... | [] | Test |
44,129 | 24 | Title: Learning to Control and Coordinate Hybrid Traffic Through Robot Vehicles at Complex and Unsignalized Intersections
Abstract: Intersections are essential road infrastructures for traffic in modern metropolises; however, they can also be the bottleneck of traffic flows due to traffic incidents or the absence of tr... | [
7632,
20101,
31917
] | Train |
44,130 | 3 | Title: Computer Aided Design and Grading for an Electronic Functional Programming Exam
Abstract: Electronic exams (e-exams) have the potential to substantially reduce the effort required for conducting an exam through automation. Yet, care must be taken to sacrifice neither task complexity nor constructive alignment no... | [
523
] | Test |
44,131 | 5 | Title: Fog Device-as-a-Service (FDaaS): A Framework for Service Deployment in Public Fog Environments
Abstract: Meeting the requirements of future services with time sensitivity and handling sudden load spikes of the services in Fog computing environments are challenging tasks due to the lack of publicly available Fog ... | [] | Validation |
44,132 | 30 | Title: Covid-19 Public Sentiment Analysis for Indian Tweets Classification
Abstract: When any extraordinary event takes place in the world wide area, it is the social media that acts as the fastest carrier of the news along with the consequences dealt with that event. One can gather much information through social netw... | [] | Test |
44,133 | 16 | Title: Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training
Abstract: Harnessing the power of pre-training on large-scale datasets like ImageNet forms a fundamental building block for the progress of representation learning-driven solutions in computer vision. Medical images are inhe... | [] | Validation |
44,134 | 10 | Title: Logic-Based Benders Decomposition in Answer Set Programming for Chronic Outpatients Scheduling
Abstract:
In answer set programming (ASP), the user can define declaratively a problem and solve it with efficient solvers; practical applications of ASP are countless and several constraint problems have been succes... | [] | Train |
44,135 | 16 | Title: Sampling is Matter: Point-Guided 3D Human Mesh Reconstruction
Abstract: This paper presents a simple yet powerful method for 3D human mesh reconstruction from a single RGB image. Most recently, the non-local interactions of the whole mesh vertices have been effectively estimated in the transformer while the rela... | [] | Train |
44,136 | 24 | Title: Quantized Neural Networks for Low-Precision Accumulation with Guaranteed Overflow Avoidance
Abstract: We introduce a quantization-aware training algorithm that guarantees avoiding numerical overflow when reducing the precision of accumulators during inference. We leverage weight normalization as a means of const... | [] | Train |
44,137 | 20 | Title: Interactive Exploration of the Temporal $\alpha$-Shape
Abstract: An interesting subcomplex of the Delaunay triangulation are $\alpha$-shapes, which give a more detailed representation of the shape of point sets than the convex hull. We extend an algorithm which computes all Delaunay simplices over all time windo... | [] | Train |
44,138 | 15 | Title: LightRW: FPGA Accelerated Graph Dynamic Random Walks
Abstract: Graph dynamic random walks (GDRWs) have recently emerged as a powerful paradigm for graph analytics and learning applications, including graph embedding and graph neural networks. Despite the fact that many existing studies optimize the performance o... | [] | Train |
44,139 | 24 | Title: Activation Functions Not To Active: A Plausible Theory on Interpreting Neural Networks
Abstract: Researchers commonly believe that neural networks model a high-dimensional space but cannot give a clear definition of this space. What is this space? What is its dimension? And does it has finite dimensions? In this... | [
42810
] | Train |
44,140 | 30 | Title: Scaling Pre-trained Language Models to Deeper via Parameter-efficient Architecture
Abstract: In this paper, we propose a highly parameter-efficient approach to scaling pre-trained language models (PLMs) to a deeper model depth. Unlike prior work that shares all parameters or uses extra blocks, we design a more c... | [] | Train |
44,141 | 16 | Title: AKVSR: Audio Knowledge Empowered Visual Speech Recognition by Compressing Audio Knowledge of a Pretrained Model
Abstract: Visual Speech Recognition (VSR) is the task of predicting spoken words from silent lip movements. VSR is regarded as a challenging task because of the insufficient information on lip movement... | [
8186,
36618,
10534
] | Train |
44,142 | 6 | Title: Modeling Reliance on XAI Indicating Its Purpose and Attention
Abstract: This study used XAI, which shows its purposes and attention as explanations of its process, and investigated how these explanations affect human trust in and use of AI. In this study, we generated heat maps indicating AI attention, conducted... | [] | Train |
44,143 | 16 | Title: P2SDF for Neural Indoor Scene Reconstruction
Abstract: Given only a set of images, neural implicit surface representation has shown its capability in 3D surface reconstruction. However, as the nature of per-scene optimization is based on the volumetric rendering of color, previous neural implicit surface reconst... | [
45925
] | Train |
44,144 | 34 | Title: Differentially Private Clustering in Data Streams
Abstract: The streaming model is an abstraction of computing over massive data streams, which is a popular way of dealing with large-scale modern data analysis. In this model, there is a stream of data points, one after the other. A streaming algorithm is only al... | [] | Train |
44,145 | 24 | Title: A Comparison of Methods for Neural Network Aggregation
Abstract: Deep learning has been successful in the theoretical aspect. For deep learning to succeed in industry, we need to have algorithms capable of handling many inconsistencies appearing in real data. These inconsistencies can have large effects on the i... | [] | Train |
44,146 | 27 | Title: Sample-Efficient Co-Design of Robotic Agents Using Multi-fidelity Training on Universal Policy Network
Abstract: Co-design involves simultaneously optimizing the controller and agents physical design. Its inherent bi-level optimization formulation necessitates an outer loop design optimization driven by an inner... | [] | Train |
44,147 | 27 | Title: Dexterous Soft Hands Linearize Feedback-Control for In-Hand Manipulation
Abstract: This paper presents a feedback-control framework for in-hand manipulation (IHM) with dexterous soft hands that enables the acquisition of manipulation skills in the real-world within minutes. We choose the deformation state of the... | [] | Train |
44,148 | 24 | Title: Estimation of River Water Surface Elevation Using UAV Photogrammetry and Machine Learning
Abstract: Unmanned aerial vehicle (UAV) photogrammetry allows for the creation of orthophotos and digital surface models (DSMs) of a terrain. However, DSMs of water bodies mapped with this technique reveal water surface dis... | [] | Train |
44,149 | 13 | Title: Generating Private Synthetic Data with Genetic Algorithms
Abstract: We study the problem of efficiently generating differentially private synthetic data that approximate the statistical properties of an underlying sensitive dataset. In recent years, there has been a growing line of work that approaches this prob... | [] | Train |
44,150 | 6 | Title: Disconnected from Reality: Do the core concepts of the metaverse exclude disabled individuals?
Abstract: Commercially-driven metaverse development has been driven by philosophical and science fiction concepts. Through translating these concepts into products, the developers may have inadvertently excluded indivi... | [] | Test |
44,151 | 16 | Title: Robust and Fast Vehicle Detection using Augmented Confidence Map
Abstract: Vehicle detection in real-time scenarios is challenging because of the time constraints and the presence of multiple types of vehicles with different speeds, shapes, structures, etc. This paper presents a new method relied on generating a... | [] | Train |
44,152 | 30 | Title: Comparative Topic Modeling for Determinants of Divergent Report Results Applied to Macular Degeneration Studies
Abstract: Topic modeling and text mining are subsets of Natural Language Processing with relevance for conducting meta-analysis (MA) and systematic review (SR). For evidence synthesis, the above NLP me... | [] | Validation |
44,153 | 31 | Title: Statute-enhanced lexical retrieval of court cases for COLIEE 2022
Abstract: We discuss our experiments for COLIEE Task 1, a court case retrieval competition using cases from the Federal Court of Canada. During experiments on the training data we observe that passage level retrieval with rank fusion outperforms d... | [] | Test |
44,154 | 23 | Title: Predicting Resource Consumption of Kubernetes Container Systems using Resource Models
Abstract: nan | [] | Train |
44,155 | 24 | Title: A Federated Approach for Hate Speech Detection
Abstract: Hate speech detection has been the subject of high research attention, due to the scale of content created on social media. In spite of the attention and the sensitive nature of the task, privacy preservation in hate speech detection has remained under-stu... | [] | Train |
44,156 | 37 | Title: Enhancing Data Space Semantic Interoperability through Machine Learning: a Visionary Perspective
Abstract: Our vision paper outlines a plan to improve the future of semantic interoperability in data spaces through the application of machine learning. The use of data spaces, where data is exchanged among members ... | [] | Train |
44,157 | 23 | Title: Creating a Dataset for High-Performance Computing Code Translation using LLMs: A Bridge Between OpenMP Fortran and C++
Abstract: In this study, we present a novel dataset for training machine learning models translating between OpenMP Fortran and C++ code. To ensure reliability and applicability, the dataset is ... | [
32450
] | Train |
44,158 | 27 | Title: NimbRo wins ANA Avatar XPRIZE Immersive Telepresence Competition: Human-Centric Evaluation and Lessons Learned
Abstract: Robotic avatar systems can enable immersive telepresence with locomotion, manipulation, and communication capabilities. We present such an avatar system, based on the key components of immersi... | [
32539,
27430,
23981,
11863,
23259,
39038,
21535
] | Train |
44,159 | 30 | Title: A Survey on Contextualised Semantic Shift Detection
Abstract: Semantic Shift Detection (SSD) is the task of identifying, interpreting, and assessing the possible change over time in the meanings of a target word. Traditionally, SSD has been addressed by linguists and social scientists through manual and time-con... | [] | Train |
44,160 | 16 | Title: High Dynamic Range Imaging with Context-aware Transformer
Abstract: Avoiding the introduction of ghosts when synthesising LDR images as high dynamic range (HDR) images is a challenging task. Convolutional neural networks (CNNs) are effective for HDR ghost removal in general, but are challenging to deal with the ... | [
8257,
25444,
30827,
20759,
43034
] | Train |
44,161 | 30 | Title: Assessing Guest Nationality Composition from Hotel Reviews
Abstract: Many hotels target guest acquisition efforts to specific markets in order to best anticipate individual preferences and needs of their guests. Likewise, such strategic positioning is a prerequisite for efficient marketing budget allocation. Off... | [] | Validation |
44,162 | 30 | Title: EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education
Abstract: EduChat (https://www.educhat.top/) is a large-scale language model (LLM)-based chatbot system in the education domain. Its goal is to support personalized, fair, and compassionate intelligent education, serving teacher... | [
13700,
33477,
1575,
41101,
38958,
2102,
6328,
44445
] | Train |
44,163 | 3 | Title: Decision Support to Crowdsourcing for Annotation and Transcription of Ancient Documents: The RECITAL Workshop
Abstract: In the 18th century in Paris, only two public theatres could officially perform comedies: the Com{\'e}die-Fran{\c c}aise, and the Com{\'e}die-Italienne. The latter was much less well known. By ... | [] | Train |
44,164 | 16 | Title: How Does Fine-Tuning Impact Out-of-Distribution Detection for Vision-Language Models?
Abstract: Recent large vision-language models such as CLIP have shown remarkable out-of-distribution (OOD) detection and generalization performance. However, their zero-shot in-distribution (ID) accuracy is often limited for do... | [
1930
] | Train |
44,165 | 16 | Title: Efficient Bayesian Computational Imaging with a Surrogate Score-Based Prior
Abstract: We propose a surrogate function for efficient use of score-based priors for Bayesian inverse imaging. Recent work turned score-based diffusion models into probabilistic priors for solving ill-posed imaging problems by appealing... | [
4603,
38916
] | Train |
44,166 | 24 | Title: The Role of Baselines in Policy Gradient Optimization
Abstract: We study the effect of baselines in on-policy stochastic policy gradient optimization, and close the gap between the theory and practice of policy optimization methods. Our first contribution is to show that the \emph{state value} baseline allows on... | [
42764
] | Train |
44,167 | 26 | Title: A Twitter Dataset for Pakistani Political Discourse
Abstract: We share the largest dataset for the Pakistani Twittersphere consisting of over 49 million tweets, collected during one of the most politically active periods in the country. We collect the data after the deposition of the government by a No Confidenc... | [] | Train |
44,168 | 24 | Title: ScatterUQ: Interactive Uncertainty Visualizations for Multiclass Deep Learning Problems
Abstract: Recently, uncertainty-aware deep learning methods for multiclass labeling problems have been developed that provide calibrated class prediction probabilities and out-of-distribution (OOD) indicators, letting machine... | [
4419
] | Validation |
44,169 | 30 | Title: Semantic enrichment towards efficient speech representations
Abstract: Over the past few years, self-supervised learned speech representations have emerged as fruitful replacements for conventional surface representations when solving Spoken Language Understanding (SLU) tasks. Simultaneously, multilingual models... | [] | Train |
44,170 | 4 | Title: High-Performance Caching of Homomorphic Encryption for Cloud Databases
Abstract: While homomorphic encryption (HE) has garnered significant research interest in cloud-based outsourced databases due to its algebraic properties over ciphertexts, the computational overhead associated with HE has hindered its widesp... | [] | Validation |
44,171 | 5 | Title: No distributed quantum advantage for approximate graph coloring
Abstract: We give an almost complete characterization of the hardness of $c$-coloring $\chi$-chromatic graphs with distributed algorithms, for a wide range of models of distributed computing. In particular, we show that these problems do not admit a... | [
4729
] | Test |
44,172 | 23 | Title: Safeguarding Learning-based Control for Smart Energy Systems with Sampling Specifications
Abstract: We study challenges using reinforcement learning in controlling energy systems, where apart from performance requirements, one has additional safety requirements such as avoiding blackouts. We detail how these saf... | [] | Train |
44,173 | 30 | Title: A Categorical Archive of ChatGPT Failures
Abstract: Large language models have been demonstrated to be valuable in different fields. ChatGPT, developed by OpenAI, has been trained using massive amounts of data and simulates human conversation by comprehending context and generating appropriate responses. It has ... | [
17920,
27138,
11273,
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36528,
42165,
8887,
37563,
13501,
8894,
13510,
6855,
31439,
16598,
... | Train |
44,174 | 16 | Title: MonoATT: Online Monocular 3D Object Detection with Adaptive Token Transformer
Abstract: Mobile monocular 3D object detection (Mono3D) (e.g., on a vehicle, a drone, or a robot) is an important yet challenging task. Existing transformer-based offline Mono3D models adopt grid-based vision tokens, which is suboptima... | [] | Train |
44,175 | 10 | Title: Analogical Inference Enhanced Knowledge Graph Embedding
Abstract: Knowledge graph embedding (KGE), which maps entities and relations in a knowledge graph into continuous vector spaces, has achieved great success in predicting missing links in knowledge graphs. However, knowledge graphs often contain incomplete t... | [
11833,
4869
] | Test |
44,176 | 30 | Title: Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering
Abstract: Large Language Model (LLM) has gained popularity and achieved remarkable results in open-domain tasks, but its performance in real industrial domain-specific scenarios is average since there is no specific k... | [
7936,
33220,
13700,
13510,
27015,
17801,
9518,
27669,
3609
] | Train |
44,177 | 16 | Title: Ablating Concepts in Text-to-Image Diffusion Models
Abstract: Large-scale text-to-image diffusion models can generate high-fidelity images with powerful compositional ability. However, these models are typically trained on an enormous amount of Internet data, often containing copyrighted material, licensed image... | [
30402,
35524,
549,
27301,
16103,
44741,
22987,
17200,
45104,
18003,
20435,
27059,
28532,
5815,
12888,
34074,
9244
] | Train |
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