node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
17,278 | 24 | Title: Optimizing the switching operation in monoclonal antibody production: Economic MPC and reinforcement learning
Abstract: Monoclonal antibodies (mAbs) have emerged as indispensable assets in medicine, and are currently at the forefront of biopharmaceutical product development. However, the growing market demand an... | [] | Train |
17,279 | 3 | Title: Understanding accountability in algorithmic supply chains
Abstract: Academic and policy proposals on algorithmic accountability often seek to understand algorithmic systems in their socio-technical context, recognising that they are produced by ‘many hands’. Increasingly, however, algorithmic systems are also pr... | [
28734,
27926,
37568
] | Test |
17,280 | 24 | Title: Hallucinated Adversarial Control for Conservative Offline Policy Evaluation
Abstract: We study the problem of conservative off-policy evaluation (COPE) where given an offline dataset of environment interactions, collected by other agents, we seek to obtain a (tight) lower bound on a policy's performance. This is... | [
13027
] | Train |
17,281 | 1 | Title: Explainable Multimodal Emotion Reasoning
Abstract: Multimodal emotion recognition is an active research topic in artificial intelligence. Its primary objective is to integrate multi-modalities (such as acoustic, visual, and lexical clues) to identify human emotional states. Current works generally assume accurat... | [
10624,
40289,
37987,
37765,
8903,
12527,
41104,
7384,
30745,
23545
] | Train |
17,282 | 24 | Title: Learning Safety Constraints from Demonstrations with Unknown Rewards
Abstract: We propose Convex Constraint Learning for Reinforcement Learning (CoCoRL), a novel approach for inferring shared constraints in a Constrained Markov Decision Process (CMDP) from a set of safe demonstrations with possibly different rew... | [
18994,
45923
] | Validation |
17,283 | 16 | Title: DiffBEV: Conditional Diffusion Model for Bird's Eye View Perception
Abstract: BEV perception is of great importance in the field of autonomous driving, serving as the cornerstone of planning, controlling, and motion prediction. The quality of the BEV feature highly affects the performance of BEV perception. Howe... | [
16289
] | Test |
17,284 | 6 | Title: Side-by-Side vs Face-to-Face: Evaluating Colocated Collaboration via a Transparent Wall-sized Display
Abstract: Traditional wall-sized displays mostly only support side-by-side co-located collaboration, while transparent displays naturally support face-to-face interaction. Many previous works assume transparent ... | [] | Validation |
17,285 | 24 | Title: Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs
Abstract: Diffusion models have exhibited excellent performance in various domains. The probability flow ordinary differential equation (ODE) of diffusion models (i.e., diffusion ODEs) is a particular case of continuous normalizing flows (C... | [
37545,
11146,
8308,
34356
] | Train |
17,286 | 16 | Title: BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection
Abstract: While most recent autonomous driving system focuses on developing perception methods on ego-vehicle sensors, people tend to overlook an alternative approach to leverage intelligent roadside cameras to extend the perception abil... | [
13074,
20260,
44574
] | Train |
17,287 | 8 | Title: Optical Networks and Interconnects
Abstract: The rapid evolution of communication technologies such as 5G and beyond, rely on optical networks to support the challenging and ambitious requirements that include both capacity and reliability. This chapter begins by giving an overview of the evolution of optical ac... | [] | Train |
17,288 | 30 | Title: Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer
Abstract: In real-world scenarios, labeled samples for dialogue summarization are usually limited (i.e., few-shot) due to high annotation costs for high-quality dialogue summaries. To efficiently learn from few-shot samples, previous works hav... | [] | Train |
17,289 | 16 | Title: Visual Place Recognition: A Tutorial
Abstract: Localization is an essential capability for mobile robots. A rapidly growing field of research in this area is Visual Place Recognition (VPR), which is the ability to recognize previously seen places in the world based solely on images. This present work is the firs... | [
15269
] | Train |
17,290 | 16 | Title: CNN Feature Map Augmentation for Single-Source Domain Generalization
Abstract: In search of robust and generalizable machine learning models, Domain Generalization (DG) has gained significant traction during the past few years. The goal in DG is to produce models which continue to perform well when presented wit... | [] | Train |
17,291 | 20 | Title: Observation Routes and External Watchman Routes
Abstract: We introduce the Observation Route Problem ($\textsf{ORP}$) defined as follows: Given a set of $n$ pairwise disjoint compact regions in the plane, find a shortest tour (route) such that an observer walking along this tour can see (observe) some point in e... | [] | Train |
17,292 | 4 | Title: Towards Scalable EM-based Anomaly Detection For Embedded Devices Through Synthetic Fingerprinting
Abstract: Embedded devices are omnipresent in modern networks including the ones operating inside critical environments. However, due to their constrained nature, novel mechanisms are required to provide external, a... | [] | Train |
17,293 | 23 | Title: MLOps: A Step Forward to Enterprise Machine Learning
Abstract: Machine Learning Operations (MLOps) is becoming a highly crucial part of businesses looking to capitalize on the benefits of AI and ML models. This research presents a detailed review of MLOps, its benefits, difficulties, evolutions, and important un... | [] | Train |
17,294 | 16 | Title: A Systematic Performance Analysis of Deep Perceptual Loss Networks Breaks Transfer Learning Conventions
Abstract: Deep perceptual loss is a type of loss function in computer vision that aims to mimic human perception by using the deep features extracted from neural networks. In recent years the method has been a... | [
12029
] | Train |
17,295 | 30 | Title: Universal and Transferable Adversarial Attacks on Aligned Language Models
Abstract: Because"out-of-the-box"large language models are capable of generating a great deal of objectionable content, recent work has focused on aligning these models in an attempt to prevent undesirable generation. While there has been ... | [
25734,
45821,
34967,
29087,
39840,
27815,
4649,
27439,
10800,
4658,
5815,
4408,
12218,
9403,
25789,
29375,
44481,
41029,
7623,
4180,
4565,
35927,
19420,
7648,
9569,
29280,
9956,
33256,
36714,
42218,
109,
17263,
41328,
45301,
7799,
43641,
10749
... | Test |
17,296 | 22 | Title: Implementing backjumping by means of exception handling
Abstract:
We discuss how to implement backjumping (or intelligent backtracking) in Prolog by using the built-ins throw/1 and catch/3. We show that it is impossible in a general case, contrary to a claim that “backjumping is exception handling." We provide... | [
27302
] | Train |
17,297 | 24 | Title: Auto-weighted Multi-view Clustering for Large-scale Data
Abstract: Multi-view clustering has gained broad attention owing to its capacity to exploit complementary information across multiple data views. Although existing methods demonstrate delightful clustering performance, most of them are of high time complex... | [
43578,
9491,
26373
] | Train |
17,298 | 36 | Title: Quantitative Reachability Stackelberg-Pareto Synthesis is NEXPTIME-Complete
Abstract: In this paper, we deepen the study of two-player Stackelberg games played on graphs in which Player $0$ announces a strategy and Player $1$, having several objectives, responds rationally by following plays providing him Pareto... | [
669
] | Train |
17,299 | 24 | Title: Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs
Abstract: Learning on Graphs has attracted immense attention due to its wide real-world applications. The most popular pipeline for learning on graphs with textual node attributes primarily relies on Graph Neural Networks (GNNs), and u... | [
40192,
4610,
13700,
1292,
269,
45455,
27536,
27281,
31375,
3352,
28963,
40103,
30131,
15413,
26552,
37947,
3643,
33220,
18117,
13510,
43718,
29396,
15325,
9841,
634,
23805
] | Validation |
17,300 | 28 | Title: Uplink Precoding Design for Cell-Free Massive MIMO With Iteratively Weighted MMSE
Abstract: In this paper, we investigate a cell-free massive multiple-input multiple-output system with both access points and user equipments equipped with multiple antennas over the Weichselberger Rayleigh fading channel. We study... | [
33232,
1603,
30925,
3027
] | Test |
17,301 | 23 | Title: A study of documentation for software architecture
Abstract: nan | [] | Train |
17,302 | 27 | Title: Kinematic Analysis and Design of a Novel (6+3)-DoF Parallel Robot with Fixed Actuators
Abstract: A novel kinematically redundant ($6+3$) -DoF parallel robot is presented in this paper. Three identical 3-DoF RU/2-RUS legs are attached to a configurable platform through spherical joints. With the selected leg mech... | [] | Train |
17,303 | 24 | Title: Safety Verification of Neural Network Control Systems Using Guaranteed Neural Network Model Reduction
Abstract: This paper aims to enhance the computational efficiency of safety verification of neural network control systems by developing a guaranteed neural network model reduction method. First, a concept of mo... | [] | Validation |
17,304 | 6 | Title: A prototype hybrid prediction market for estimating replicability of published work
Abstract: We present a prototype hybrid prediction market and demonstrate the avenue it represents for meaningful human-AI collaboration. We build on prior work proposing artificial prediction markets as a novel machine-learning ... | [] | Train |
17,305 | 17 | Title: Bluefish: A Relational Grammar of Graphics
Abstract: The Grammar of Graphics (GoG) has become a popular format for specifying visualizations because it unifies different chart types into a consistent, modular, and customizable framework. But its benefits have not yet reached the broader class of data-driven grap... | [] | Train |
17,306 | 33 | Title: VDM recursive functions in Isabelle/HOL
Abstract: For recursive functions general principles of induction needs to be applied. Instead of verifying them directly using the Vienna Development Method Specification Language (VDM-SL), we suggest a translation to Isabelle/HOL. In this paper, the challenges of such a ... | [] | Train |
17,307 | 16 | Title: Is Multimodal Vision Supervision Beneficial to Language?
Abstract: Vision (image & video) - Language (VL) pre-training is the recent popular paradigm that achieved state-of-the-art results on multi-modal tasks like image-retrieval, video-retrieval, visual question answering etc. These models are trained in an un... | [] | Train |
17,308 | 24 | Title: NODAGS-Flow: Nonlinear Cyclic Causal Structure Learning
Abstract: Learning causal relationships between variables is a well-studied problem in statistics, with many important applications in science. However, modeling real-world systems remain challenging, as most existing algorithms assume that the underlying c... | [
24784,
21081
] | Train |
17,309 | 24 | Title: SGL-PT: A Strong Graph Learner with Graph Prompt Tuning
Abstract: Recently, much exertion has been paid to design graph self-supervised methods to obtain generalized pre-trained models, and adapt pre-trained models onto downstream tasks through fine-tuning. However, there exists an inherent gap between pretext a... | [
34719,
45278,
4110,
34527
] | Train |
17,310 | 24 | Title: Temporal Patience: Efficient Adaptive Deep Learning for Embedded Radar Data Processing
Abstract: Radar sensors offer power-efficient solutions for always-on smart devices, but processing the data streams on resource-constrained embedded platforms remains challenging. This paper presents novel techniques that lev... | [] | Test |
17,311 | 16 | Title: Orientation-Guided Contrastive Learning for UAV-View Geo-Localisation
Abstract: Retrieving relevant multimedia content is one of the main problems in a world that is increasingly data-driven. With the proliferation of drones, high quality aerial footage is now available to a wide audience for the first time. Int... | [
4643,
34540
] | Train |
17,312 | 16 | Title: Federated Learning for Computer Vision
Abstract: Computer Vision (CV) is playing a significant role in transforming society by utilizing machine learning (ML) tools for a wide range of tasks. However, the need for large-scale datasets to train ML models creates challenges for centralized ML algorithms. The massi... | [
13057,
7266,
13070,
18543,
13239,
24984,
3614
] | Train |
17,313 | 31 | Title: Pure Spectral Graph Embeddings: Reinterpreting Graph Convolution for Top-N Recommendation
Abstract: nan | [] | Train |
17,314 | 6 | Title: A user co-designed digital INtervention for Child LangUage DisordEr: The INCLUDE Project Protocol
Abstract: Around ten percent of children may present with a disorder where language does not develop as expected. This often affects vocabulary skills, i.e., finding the words to express wants, needs and ideas, whic... | [] | Train |
17,315 | 23 | Title: Salience-based stakeholder selection to maintain stakeholder coverage in solving the next release problem
Abstract: nan | [] | Validation |
17,316 | 36 | Title: Fault Tolerance in Euclidean Committee Selection
Abstract: In the committee selection problem, the goal is to choose a subset of size $k$ from a set of candidates $C$ that collectively gives the best representation to a set of voters. We consider this problem in Euclidean $d$-space where each voter/candidate is ... | [] | Train |
17,317 | 6 | Title: Visualization of AI Systems in Virtual Reality: A Comprehensive Review
Abstract: This study provides a comprehensive review of the utilization of Virtual Reality (VR) for visualizing Artificial Intelligence (AI) systems, drawing on 18 selected studies. The results illuminate a complex interplay of tools, methods... | [
20679
] | Validation |
17,318 | 24 | Title: Large sequence models for sequential decision-making: a survey
Abstract: nan | [
12128,
18058,
37252
] | Test |
17,319 | 38 | Title: Proposal for a distributed, community-driven academic publishing system
Abstract: We propose an academic publishing system where research papers are stored in a network of data centres owned by university libraries and research institutions, and are interfaced with the academic community through a website. In ou... | [] | Validation |
17,320 | 26 | Title: Integrating Node Importance and Network Topological Properties for Link Prediction in Complex Network
Abstract: Link prediction is one of the most important and challenging tasks in complex network analysis, which aims to predict the existence of unknown links based on the known information in the network. As cr... | [] | Train |
17,321 | 16 | Title: Multi-modal Facial Affective Analysis based on Masked Autoencoder
Abstract: Human affective behavior analysis focuses on analyzing human expressions or other behaviors to enhance the understanding of human psychology. The CVPR 2023 Competition on Affective Behavior Analysis in-the-wild (ABAW) is dedicated to pro... | [
38944,
23458,
16586,
23627,
2323,
16184,
1305,
17722
] | Train |
17,322 | 27 | Title: Data-driven Grip Force Variation in Robot-Human Handovers
Abstract: Handovers frequently occur in our social environments, making it imperative for a collaborative robotic system to master the skill of handover. In this work, we aim to investigate the relationship between the grip force variation for a human giv... | [] | Validation |
17,323 | 4 | Title: D-Score: An Expert-Based Method for Assessing the Detectability of IoT-Related Cyber-Attacks
Abstract: nan | [] | Test |
17,324 | 23 | Title: Applying User Experience and User-Centered Design Software Processes in Undergraduate Mobile Application Development Teaching
Abstract: Agile methods in undergraduate courses have been explored by various authors looking to close the gap between industry and professional profiles. We have structured an Android a... | [] | Test |
17,325 | 3 | Title: The sequence matters: A systematic literature review of using sequence analysis in Learning Analytics
Abstract: Describing and analysing sequences of learner actions is becoming more popular in learning analytics. Nevertheless, the authors found a variety of definitions of what a learning sequence is, of which d... | [] | Test |
17,326 | 24 | Title: Improved Bound for Mixing Time of Parallel Tempering
Abstract: In the field of sampling algorithms, MCMC (Markov Chain Monte Carlo) methods are widely used when direct sampling is not possible. However, multimodality of target distributions often leads to slow convergence and mixing. One common solution is paral... | [] | Test |
17,327 | 16 | Title: Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis
Abstract: Although deep learning (DL) models have shown great success in many medical image analysis tasks, deployment of the resulting models into real clinical contexts requires: (1) that they exhibit robustness and fairne... | [
9782
] | Train |
17,328 | 10 | Title: AutoScrum: Automating Project Planning Using Large Language Models
Abstract: Recent advancements in the field of large language models have made it possible to use language models for advanced reasoning. In this paper we leverage this ability for designing complex project plans based only on knowing the current ... | [
44323,
25156,
13510,
37742,
9907,
4660,
43925,
18459,
42270
] | Train |
17,329 | 16 | Title: CTP-Net: Character Texture Perception Network for Document Image Forgery Localization
Abstract: Due to the progression of information technology in recent years, document images have been widely disseminated on social networks. With the help of powerful image editing tools, document images are easily forged with... | [] | Test |
17,330 | 16 | Title: Rethinking Medical Report Generation: Disease Revealing Enhancement with Knowledge Graph
Abstract: Knowledge Graph (KG) plays a crucial role in Medical Report Generation (MRG) because it reveals the relations among diseases and thus can be utilized to guide the generation process. However, constructing a compreh... | [] | Train |
17,331 | 24 | Title: Graph Kalman Filters
Abstract: The well-known Kalman filters model dynamical systems by relying on state-space representations with the next state updated, and its uncertainty controlled, by fresh information associated with newly observed system outputs. This paper generalizes, for the first time in the literat... | [
32869,
7670
] | Train |
17,332 | 4 | Title: An attack resilient policy on the tip pool for DAG-based distributed ledgers
Abstract: This paper discusses congestion control and inconsistency problems in DAG-based distributed ledgers and proposes an additional filter to mitigate these issues. Unlike traditional blockchains, DAG-based DLTs use a directed acyc... | [
43832
] | Test |
17,333 | 27 | Title: MPC-based Motion Planning for Autonomous Truck-Trailer Maneuvering
Abstract: Time-optimal motion planning of autonomous vehicles in complex environments is a highly researched topic. This paper describes a novel approach to optimize and execute locally feasible trajectories for the maneuvering of a truck-trailer... | [] | Train |
17,334 | 4 | Title: Blockchain-based Cloud Data Deduplication Scheme with Fair Incentives
Abstract: With the rapid development of cloud computing, vast amounts of duplicated data are being uploaded to the cloud, wasting storage resources. Deduplication (dedup) is an efficient solution to save storage costs of cloud storage provider... | [] | Train |
17,335 | 16 | Title: Segment Anything is A Good Pseudo-label Generator for Weakly Supervised Semantic Segmentation
Abstract: Weakly supervised semantic segmentation with weak labels is a long-lived ill-posed problem. Mainstream methods mainly focus on improving the quality of pseudo labels. In this report, we attempt to explore the ... | [
10624,
12704,
4643,
30757,
38612,
35263
] | Train |
17,336 | 24 | Title: GRAF: Graph Attention-aware Fusion Networks
Abstract: A large number of real-world networks include multiple types of nodes and edges. Graph Neural Network (GNN) emerged as a deep learning framework to generate node and graph embeddings for downstream machine learning tasks. However, popular GNN-based architectu... | [] | Train |
17,337 | 30 | Title: The Tag-Team Approach: Leveraging CLS and Language Tagging for Enhancing Multilingual ASR
Abstract: Building a multilingual Automated Speech Recognition (ASR) system in a linguistically diverse country like India can be a challenging task due to the differences in scripts and the limited availability of speech d... | [] | Test |
17,338 | 14 | Title: Short proofs of ideal membership
Abstract: A cofactor representation of an ideal element, that is, a representation in terms of the generators, can be considered as a certificate for ideal membership. Such a representation is typically not unique, and some can be a lot more complicated than others. In this work,... | [
36933
] | Test |
17,339 | 25 | Title: Towards generalizing deep-audio fake detection networks
Abstract: Today's generative neural networks allow the creation of high-quality synthetic speech at scale. While we welcome the creative use of this new technology, we must also recognize the risks. As synthetic speech is abused for both monetary and identi... | [] | Train |
17,340 | 24 | Title: Machine Learning for Synthetic Data Generation: a Review
Abstract: Machine learning heavily relies on data, but real-world applications often encounter various data-related issues. These include data of poor quality, insufficient data points leading to under-fitting of machine learning models, and difficulties i... | [
7781,
2693,
42312,
45104,
33175,
15037,
22334
] | Test |
17,341 | 6 | Title: Freeform Templates: Combining Freeform Curation with Structured Templates
Abstract: Online whiteboards are becoming a popular way to facilitate collaborative design work, providing a free-form environment to curate ideas. However, as templates are increasingly being used to scaffold contributions from non-expert... | [
19155
] | Train |
17,342 | 6 | Title: Safeguarding Crowdsourcing Surveys from ChatGPT with Prompt Injection
Abstract: ChatGPT and other large language models (LLMs) have proven useful in crowdsourcing tasks, where they can effectively annotate machine learning training data. However, this means that they also have the potential for misuse, specifica... | [
40192,
39392,
8200,
4271,
14236
] | Train |
17,343 | 16 | Title: Reconstructing Three-Dimensional Models of Interacting Humans
Abstract: Understanding 3d human interactions is fundamental for fine-grained scene analysis and behavioural modeling. However, most of the existing models predict incorrect, lifeless 3d estimates, that miss the subtle human contact aspects--the essen... | [] | Test |
17,344 | 31 | Title: Query-specific Variable Depth Pooling via Query Performance Prediction
Abstract: Due to the massive size of test collections, a standard practice in IR evaluation is to construct a 'pool' of candidate relevant documents comprised of the top-k documents retrieved by a wide range of different retrieval systems - a... | [] | Test |
17,345 | 31 | Title: Pre-Training Multi-Modal Dense Retrievers for Outside-Knowledge Visual Question Answering
Abstract: This paper studies a category of visual question answering tasks, in which accessing external knowledge is necessary for answering the questions. This category is called outside-knowledge visual question answering... | [
32984,
39757
] | Validation |
17,346 | 3 | Title: Ground(less) Truth: A Causal Framework for Proxy Labels in Human-Algorithm Decision-Making
Abstract: A growing literature on human-AI decision-making investigates strategies for combining human judgment with statistical models to improve decision-making. Research in this area often evaluates proposed improvement... | [
45923,
44812,
34987
] | Test |
17,347 | 16 | Title: Multimodal Adaptive Fusion of Face and Gait Features using Keyless attention based Deep Neural Networks for Human Identification
Abstract: Biometrics plays a significant role in vision-based surveillance applications. Soft biometrics such as gait is widely used with face in surveillance tasks like person recogni... | [] | Train |
17,348 | 16 | Title: Learnt Contrastive Concept Embeddings for Sign Recognition
Abstract: In natural language processing (NLP) of spoken languages, word embeddings have been shown to be a useful method to encode the meaning of words. Sign languages are visual languages, which require sign embeddings to capture the visual and linguis... | [
27076
] | Test |
17,349 | 30 | Title: Hybrid Long Document Summarization using C2F-FAR and ChatGPT: A Practical Study
Abstract: Text summarization is a downstream natural language processing (NLP) task that challenges the understanding and generation capabilities of language models. Considerable progress has been made in automatically summarizing sh... | [
40192,
27232,
28151,
35580,
13510,
11273,
18441,
1899,
44272,
12087,
35545,
30362,
39451,
35388,
22334,
24479
] | Train |
17,350 | 24 | Title: Safe Reinforcement Learning with Dead-Ends Avoidance and Recovery
Abstract: Safety is one of the main challenges in applying reinforcement learning to realistic environmental tasks. To ensure safety during and after training process, existing methods tend to adopt overly conservative policy to avoid unsafe situa... | [
3904,
26521
] | Validation |
17,351 | 8 | Title: Digital Twin-Enabled Domain Adaptation for Zero-Touch UAV Networks: Survey and Challenges
Abstract: In existing wireless networks, the control programs have been designed manually and for certain predefined scenarios. This process is complicated and error-prone, and the resulting control programs are not resilie... | [] | Validation |
17,352 | 24 | Title: Towards a Unified Theoretical Understanding of Non-contrastive Learning via Rank Differential Mechanism
Abstract: Recently, a variety of methods under the name of non-contrastive learning (like BYOL, SimSiam, SwAV, DINO) show that when equipped with some asymmetric architectural designs, aligning positive pairs ... | [
31840,
1659,
34413
] | Test |
17,353 | 24 | Title: Language models can generate molecules, materials, and protein binding sites directly in three dimensions as XYZ, CIF, and PDB files
Abstract: Language models are powerful tools for molecular design. Currently, the dominant paradigm is to parse molecular graphs into linear string representations that can easily ... | [
4089,
33220,
5757
] | Train |
17,354 | 30 | Title: InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding
Abstract: Soft prompt tuning achieves superior performances across a wide range of few-shot tasks. However, the performances of prompt tuning can be highly sensitive to the initialization of the prompts. We also empirically o... | [
32416,
11809,
12898,
20449,
34404,
24635,
13100,
40301,
20911,
16949,
39573,
11128,
7643
] | Test |
17,355 | 27 | Title: A Data-Driven Approach to Synthesizing Dynamics-Aware Trajectories for Underactuated Robotic Systems
Abstract: We consider joint trajectory generation and tracking control for under-actuated robotic systems. A common solution is to use a layered control architecture, where the top layer uses a simplified model o... | [] | Train |
17,356 | 30 | Title: CuRIAM: Corpus re Interpretation and Metalanguage in U.S. Supreme Court Opinions
Abstract: Most judicial decisions involve the interpretation of legal texts; as such, judicial opinion requires the use of language as a medium to comment on or draw attention to other language. Language used this way is called meta... | [] | Validation |
17,357 | 30 | Title: Attentiveness to Answer Choices Doesn't Always Entail High QA Accuracy
Abstract: When large language models (LMs) are applied in zero- or few-shot settings to discriminative tasks such as multiple-choice questions, their attentiveness (i.e., probability mass) is spread across many vocabulary tokens that are not ... | [
44623
] | Train |
17,358 | 27 | Title: UAP-BEV: Uncertainty Aware Planning using Bird's Eye View generated from Surround Monocular Images
Abstract: Autonomous driving requires accurate reasoning of the location of objects from raw sensor data. Recent end-to-end learning methods go from raw sensor data to a trajectory output via Bird's Eye View(BEV) s... | [] | Train |
17,359 | 24 | Title: Variational Autoencoder Learns Better Feature Representations for EEG-based Obesity Classification
Abstract: Obesity is a common issue in modern societies today that can lead to various diseases and significantly reduced quality of life. Currently, research has been conducted to investigate resting state EEG (el... | [
21449
] | Train |
17,360 | 30 | Title: Hawk: An Industrial-strength Multi-label Document Classifier
Abstract: There are a plethora of methods and algorithms that solve the classical multi-label document classification. However, when it comes to deployment and usage in an industry setting, most, if not all the contemporary approaches fail to address s... | [] | Validation |
17,361 | 6 | Title: Comparing Conventional and Conversational Search Interaction using Implicit Evaluation Methods
Abstract: Conversational search applications offer the prospect of improved user experience in information seeking via agent support. However, it is not clear how searchers will respond to this mode of engagement, in c... | [] | Train |
17,362 | 24 | Title: Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy
Abstract: The ''Propose-Test-Release'' (PTR) framework is a classic recipe for designing differentially private (DP) algorithms that are data-adaptive, i.e. those that add less noise when the input dataset is nice. We e... | [
17561,
10947
] | Train |
17,363 | 16 | Title: CompTLL-UNet: Compressed Domain Text-Line Localization in Challenging Handwritten Documents using Deep Feature Learning from JPEG Coefficients
Abstract: Automatic localization of text-lines in handwritten documents is still an open and challenging research problem. Various writing issues such as uneven spacing b... | [
45479
] | Test |
17,364 | 24 | Title: ExeDec: Execution Decomposition for Compositional Generalization in Neural Program Synthesis
Abstract: When writing programs, people have the ability to tackle a new complex task by decomposing it into smaller and more familiar subtasks. While it is difficult to measure whether neural program synthesis methods h... | [
10327
] | Train |
17,365 | 13 | Title: Creative Discovery using QD Search
Abstract: In creative design, where aesthetics play a crucial role in determining the quality of outcomes, there are often multiple worthwhile possibilities, rather than a single ``best'' design. This challenge is compounded in the use of computational generative systems, where... | [] | Validation |
17,366 | 37 | Title: Applications of Information Inequalities to Database Theory Problems
Abstract: The paper describes several applications of information inequalities to problems in database theory. The problems discussed include: upper bounds of a query’s output, worst-case optimal join algorithms, the query domination problem, a... | [
19129
] | Train |
17,367 | 23 | Title: Dataflow graphs as complete causal graphs
Abstract: Component-based development is one of the core principles behind modern software engineering practices. Understanding of causal relationships between components of a software system can yield significant benefits to developers. Yet modern software design approa... | [
19301,
29991
] | Train |
17,368 | 6 | Title: Revival of the Silk Road using the applications of AR/VR and its role on cultural tourism
Abstract: This research project seeks to investigate the incorporation of augmented reality (AR) and virtual reality (VR) technology with human-computer interaction (HCI) in order to revitalize the Silk Road - specifically ... | [] | Validation |
17,369 | 27 | Title: Potential Field-based Path Planning with Interactive Speed Optimization for Autonomous Vehicles
Abstract: Path planning is critical for autonomous vehicles (AVs) to determine the optimal route while considering constraints and objectives. The potential field (PF) approach has become prevalent in path planning du... | [] | Test |
17,370 | 30 | Title: Improving Massively Multilingual ASR With Auxiliary CTC Objectives
Abstract: Multilingual Automatic Speech Recognition (ASR) models have extended the usability of speech technologies to a wide variety of languages. With how many languages these models have to handle, however, a key to understanding their imbalan... | [
27513,
10203,
11918
] | Train |
17,371 | 31 | Title: MMEAD: MS MARCO Entity Annotations and Disambiguations
Abstract: MMEAD, or MS MARCO Entity Annotations and Disambiguations, is a resource for entity links for the MS MARCO datasets. We specify a format to store and share links for both document and passage collections of MS MARCO. Following this specification, w... | [] | Validation |
17,372 | 16 | Title: KVN: Keypoints Voting Network with Differentiable RANSAC for Stereo Pose Estimation
Abstract: Object pose estimation is a fundamental computer vision task exploited in several robotics and augmented reality applications. Many established approaches rely on predicting 2D-3D keypoint correspondences using RANSAC (... | [
7777,
36257
] | Train |
17,373 | 26 | Title: XFlow: Benchmarking Flow Behaviors over Graphs
Abstract: The occurrence of diffusion on a graph is a prevalent and significant phenomenon, as evidenced by the spread of rumors, influenza-like viruses, smart grid failures, and similar events. Comprehending the behaviors of flow is a formidable task, due to the in... | [
35597
] | Train |
17,374 | 36 | Title: On the Optimal Fixed-Price Mechanism in Bilateral Trade
Abstract: We study the problem of social welfare maximization in bilateral trade, where two agents, a buyer and a seller, trade an indivisible item. The seminal result of Myerson and Satterthwaite shows that no incentive compatible and budget balanced (i.e.... | [
43208,
34858,
35648
] | Test |
17,375 | 24 | Title: ChatGPT-Like Large-Scale Foundation Models for Prognostics and Health Management: A Survey and Roadmaps
Abstract: Prognostics and health management (PHM) technology plays a critical role in industrial production and equipment maintenance by identifying and predicting possible equipment failures and damages, ther... | [
40192,
16962,
33220,
13700,
38734,
32944,
22334,
6942,
29311
] | Train |
17,376 | 3 | Title: Application of Text Analytics in Public Service Co-Creation: Literature Review and Research Framework
Abstract: The public sector faces several challenges, such as a number of external and internal demands for change, citizens' dissatisfaction and frustration with public sector organizations, that need to be add... | [] | Train |
17,377 | 24 | Title: Learning Reward Machines through Preference Queries over Sequences
Abstract: Reward machines have shown great promise at capturing non-Markovian reward functions for learning tasks that involve complex action sequencing. However, no algorithm currently exists for learning reward machines with realistic weak feed... | [
1460
] | Test |
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