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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|---|---|---|---|---|
41,878 | 24 | Title: STen: Productive and Efficient Sparsity in PyTorch
Abstract: As deep learning models grow, sparsity is becoming an increasingly critical component of deep neural networks, enabling improved performance and reduced storage. However, existing frameworks offer poor support for sparsity. Specialized sparsity engines... | [] | Test |
41,879 | 24 | Title: DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization
Abstract: Neural network-based Combinatorial Optimization (CO) methods have shown promising results in solving various NP-complete (NPC) problems without relying on hand-crafted domain knowledge. This paper broadens the current scope of neural... | [
42797,
4206,
37680,
7730,
41407
] | Train |
41,880 | 4 | Title: Leveraging Semantic Relationships to Prioritise Indicators of Compromise in Additive Manufacturing Systems
Abstract: Additive manufacturing (AM) offers numerous benefits, such as manufacturing complex and customised designs quickly and cost-effectively, reducing material waste, and enabling on-demand production.... | [] | Validation |
41,881 | 10 | Title: PokerKit: A Comprehensive Python Library for Fine-Grained Multi-Variant Poker Game Simulations
Abstract: PokerKit is an open-source Python library designed to overcome the restrictions of existing poker game simulation and hand evaluation tools, which typically support only a handful of poker variants and lack f... | [
33220
] | Test |
41,882 | 30 | Title: Few-Shot Structured Policy Learning for Multi-Domain and Multi-Task Dialogues
Abstract: Reinforcement learning has been widely adopted to model dialogue managers in task-oriented dialogues. However, the user simulator provided by state-of-the-art dialogue frameworks are only rough approximations of human behavio... | [] | Test |
41,883 | 16 | Title: BiLMa: Bidirectional Local-Matching for Text-based Person Re-identification
Abstract: Text-based person re-identification (TBPReID) aims to retrieve person images represented by a given textual query. In this task, how to effectively align images and texts globally and locally is a crucial challenge. Recent work... | [
8162,
24675,
557,
42678
] | Train |
41,884 | 3 | Title: Mimetic Muscle Rehabilitation Analysis Using Clustering of Low Dimensional 3D Kinect Data
Abstract: Facial nerve paresis is a severe complication that arises post-head and neck surgery; This results in articulation problems, facial asymmetry, and severe problems in non-verbal communication. To overcome the side ... | [] | Train |
41,885 | 16 | Title: ODAM: Gradient-based instance-specific visual explanations for object detection
Abstract: We propose the gradient-weighted Object Detector Activation Maps (ODAM), a visualized explanation technique for interpreting the predictions of object detectors. Utilizing the gradients of detector targets flowing into the ... | [
1180
] | Train |
41,886 | 24 | Title: Determinantal Point Process Attention Over Grid Codes Supports Out of Distribution Generalization
Abstract: Deep neural networks have made tremendous gains in emulating human-like intelligence, and have been used increasingly as ways of understanding how the brain may solve the complex computational problems on ... | [] | Validation |
41,887 | 5 | Title: Chrion: Optimizing Recurrent Neural Network Inference by Collaboratively Utilizing CPUs and GPUs
Abstract: Deploying deep learning models in cloud clusters provides efficient and prompt inference services to accommodate the widespread application of deep learning. These clusters are usually equipped with host CP... | [] | Train |
41,888 | 16 | Title: Designing a Better Asymmetric VQGAN for StableDiffusion
Abstract: StableDiffusion is a revolutionary text-to-image generator that is causing a stir in the world of image generation and editing. Unlike traditional methods that learn a diffusion model in pixel space, StableDiffusion learns a diffusion model in the... | [
25666
] | Train |
41,889 | 24 | Title: On the Limitations of Model Stealing with Uncertainty Quantification Models
Abstract: Model stealing aims at inferring a victim model's functionality at a fraction of the original training cost. While the goal is clear, in practice the model's architecture, weight dimension, and original training data can not be... | [] | Test |
41,890 | 2 | Title: Combining Combination Properties: An Analysis of Stable Infiniteness, Convexity, and Politeness
Abstract: We make two contributions to the study of theory combination in satisfiability modulo theories. The first is a table of examples for the combinations of the most common model-theoretic properties in theory c... | [] | Train |
41,891 | 16 | Title: DiffusionVMR: Diffusion Model for Video Moment Retrieval
Abstract: Video moment retrieval is a fundamental visual-language task that aims to retrieve target moments from an untrimmed video based on a language query. Existing methods typically generate numerous proposals manually or via generative networks in adv... | [
1021
] | Train |
41,892 | 25 | Title: Diffusion models for audio semantic communication
Abstract: Directly sending audio signals from a transmitter to a receiver across a noisy channel may absorb consistent bandwidth and be prone to errors when trying to recover the transmitted bits. On the contrary, the recent semantic communication approach propos... | [
38408,
4481,
46141
] | Validation |
41,893 | 16 | Title: Calibrating Panoramic Depth Estimation for Practical Localization and Mapping
Abstract: The absolute depth values of surrounding environments provide crucial cues for various assistive technologies, such as localization, navigation, and 3D structure estimation. We propose that accurate depth estimated from panor... | [] | Train |
41,894 | 16 | Title: Glocal Energy-based Learning for Few-Shot Open-Set Recognition
Abstract: Few-shot open-set recognition (FSOR) is a challenging task of great practical value. It aims to categorize a sample to one of the predefined, closed-set classes illustrated by few examples while being able to reject the sample from unknown ... | [
37333
] | Train |
41,895 | 16 | Title: Improving Post-Training Quantization on Object Detection with Task Loss-Guided Lp Metric
Abstract: Efficient inference for object detection networks is a major challenge on edge devices. Post-Training Quantization (PTQ), which transforms a full-precision model into low bit-width directly, is an effective and con... | [] | Test |
41,896 | 16 | Title: Leveraging Human Salience to Improve Calorie Estimation
Abstract: The following paper investigates the effectiveness of incorporating human salience into the task of calorie prediction from images of food. We observe a 32.2% relative improvement when incorporating saliency maps on the images of food highlighting... | [] | Train |
41,897 | 24 | Title: Explaining, Analyzing, and Probing Representations of Self-Supervised Learning Models for Sensor-based Human Activity Recognition
Abstract: In recent years, self-supervised learning (SSL) frameworks have been extensively applied to sensor-based Human Activity Recognition (HAR) in order to learn deep representati... | [] | Train |
41,898 | 30 | Title: Quality Estimation of Machine Translated Texts based on Direct Evidence from Training Data
Abstract: Current Machine Translation systems achieve very good results on a growing variety of language pairs and data sets. However, it is now well known that they produce fluent translation outputs that often can contai... | [] | Validation |
41,899 | 24 | Title: Fair Decision-making Under Uncertainty
Abstract: There has been concern within the artificial intelligence (AI) community and the broader society regarding the potential lack of fairness of AI-based decision-making systems. Surprisingly, there is little work quantifying and guaranteeing fairness in the presence ... | [
42256,
46165,
13997
] | Train |
41,900 | 33 | Title: Optimal Wheeler Language Recognition
Abstract: A Wheeler automaton is a finite state automaton whose states admit a total Wheeler order, reflecting the co-lexicographic order of the strings labeling source-to-node paths. A Wheeler language is a regular language admitting an accepting Wheeler automaton. Wheeler l... | [
19537,
5865
] | Train |
41,901 | 4 | Title: Unnoticeable Backdoor Attacks on Graph Neural Networks
Abstract: Graph Neural Networks (GNNs) have achieved promising results in various tasks such as node classification and graph classification. Recent studies find that GNNs are vulnerable to adversarial attacks. However, effective backdoor attacks on graphs a... | [
15154,
21611,
25533,
2982
] | Train |
41,902 | 16 | Title: Gated-ViGAT: Efficient Bottom-Up Event Recognition and Explanation Using a New Frame Selection Policy and Gating Mechanism
Abstract: In this paper, Gated-ViGAT, an efficient approach for video event recognition, utilizing bottom-up (object) information, a new frame sampling policy and a gating mechanism is propo... | [
45677
] | Train |
41,903 | 30 | Title: IKDSumm: Incorporating Key-phrases into BERT for extractive Disaster Tweet Summarization
Abstract: Online social media platforms, such as Twitter, are one of the most valuable sources of information during disaster events. Therefore, humanitarian organizations, government agencies, and volunteers rely on a summa... | [] | Train |
41,904 | 5 | Title: Performance Evaluation of Parallel Sortings on the Supercomputer Fugaku
Abstract: Sorting is one of the most basic algorithms, and developing highly parallel sorting programs is becoming increasingly important in high-performance computing because the number of CPU cores per node in modern supercomputers tends t... | [] | Train |
41,905 | 24 | Title: An Algorithm For Adversary Aware Decentralized Networked MARL
Abstract: Decentralized multi-agent reinforcement learning (MARL) algorithms have become popular in the literature since it allows heterogeneous agents to have their own reward functions as opposed to canonical multi-agent Markov Decision Process (MDP... | [] | Train |
41,906 | 24 | Title: Learning Diverse Risk Preferences in Population-based Self-play
Abstract: Among the great successes of Reinforcement Learning (RL), self-play algorithms play an essential role in solving competitive games. Current self-play algorithms optimize the agent to maximize expected win-rates against its current or histo... | [
5845,
7535
] | Train |
41,907 | 24 | Title: A robust policy bootstrapping algorithm for multi-objective reinforcement learning in non-stationary environments
Abstract: Multi-objective Markov decision processes are a special kind of multi-objective optimization problem that involves sequential decision making while satisfying the Markov property of stochas... | [] | Test |
41,908 | 30 | Title: PESCO: Prompt-enhanced Self Contrastive Learning for Zero-shot Text Classification
Abstract: We present PESCO, a novel contrastive learning framework that substantially improves the performance of zero-shot text classification. We formulate text classification as a neural text retrieval problem where each docume... | [
3722
] | Validation |
41,909 | 27 | Title: Automated robotic intraoperative ultrasound for brain surgery
Abstract: During brain tumour resection, localising cancerous tissue and delineating healthy and pathological borders is challenging, even for experienced neurosurgeons and neuroradiologists. Intraoperative imaging is commonly employed for determining... | [
12193
] | Validation |
41,910 | 38 | Title: pyBibX - A Python Library for Bibliometric and Scientometric Analysis Powered with Artificial Intelligence Tools
Abstract: Bibliometric and Scientometric analyses offer invaluable perspectives on the complex research terrain and collaborative dynamics spanning diverse academic disciplines. This paper presents py... | [] | Validation |
41,911 | 31 | Title: A Field Test of Bandit Algorithms for Recommendations: Understanding the Validity of Assumptions on Human Preferences in Multi-armed Bandits
Abstract: Personalized recommender systems suffuse modern life, shaping what media we read and what products we consume. Algorithms powering such systems tend to consist of... | [] | Train |
41,912 | 24 | Title: Multi-Source Domain Adaptation meets Dataset Distillation through Dataset Dictionary Learning
Abstract: In this paper, we consider the intersection of two problems in machine learning: Multi-Source Domain Adaptation (MSDA) and Dataset Distillation (DD). On the one hand, the first considers adapting multiple hete... | [
30448,
5691,
25077
] | Train |
41,913 | 30 | Title: Learning towards Selective Data Augmentation for Dialogue Generation
Abstract: As it is cumbersome and expensive to acquire a huge amount of data for training neural dialog models, data augmentation is proposed to effectively utilize existing training samples.
However, current data augmentation techniques on the... | [] | Train |
41,914 | 30 | Title: Improving Language Models via Plug-and-Play Retrieval Feedback
Abstract: Large language models (LLMs) exhibit remarkable performance across various NLP tasks. However, they often generate incorrect or hallucinated information, which hinders their practical applicability in real-world scenarios. Human feedback ha... | [
37411,
33220,
9518,
4111,
37360,
27669,
38102,
15004
] | Validation |
41,915 | 24 | Title: Diffusing Gaussian Mixtures for Generating Categorical Data
Abstract: Learning a categorical distribution comes with its own set of challenges. A successful approach taken by state-of-the-art works is to cast the problem in a continuous domain to take advantage of the impressive performance of the generative mod... | [] | Validation |
41,916 | 6 | Title: ConceptEVA: Concept-Based Interactive Exploration and Customization of Document Summaries
Abstract: With the most advanced natural language processing and artificial intelligence approaches, effective summarization of long and multi-topic documents—such as academic papers—for readers from different domains still... | [] | Train |
41,917 | 24 | Title: Dynamic Scheduling For Federated Edge Learning With Streaming Data
Abstract: In this work, we consider a Federated Edge Learning (FEEL) system where training data are randomly generated over time at a set of distributed edge devices with long-term energy constraints. Due to limited communication resources and la... | [] | Train |
41,918 | 16 | Title: Annotating Ambiguous Images: General Annotation Strategy for Image Classification with Real-World Biomedical Validation on Vertebral Fracture Diagnosis
Abstract: While numerous methods exist to solve classification problems within curated datasets, these solutions often fall short in biomedical applications due ... | [
19923,
23575
] | Train |
41,919 | 16 | Title: Implicit Neural Image Stitching With Enhanced and Blended Feature Reconstruction
Abstract: Existing frameworks for image stitching often provide visually reasonable stitchings. However, they suffer from blurry artifacts and disparities in illumination, depth level, etc. Although the recent learning-based stitchi... | [] | Train |
41,920 | 4 | Title: Code-based Cryptography in IoT: A HW/SW Co-Design of HQC
Abstract: Recent advances in quantum computing pose a serious threat on the security of widely used public-key cryp-tosystems. Thus, new post-quantum cryptographic algorithms have been proposed as part of the associated US NIST process to enable secure, en... | [] | Train |
41,921 | 6 | Title: Modular 3D Interface Design for Accessible VR Applications
Abstract: nan | [] | Validation |
41,922 | 30 | Title: NeuroX Library for Neuron Analysis of Deep NLP Models
Abstract: Neuron analysis provides insights into how knowledge is structured in representations and discovers the role of neurons in the network. In addition to developing an understanding of our models, neuron analysis enables various applications such as de... | [
3859,
27611
] | Train |
41,923 | 16 | Title: (Safe) SMART Hands: Hand Activity Analysis and Distraction Alerts Using a Multi-Camera Framework
Abstract: Manual (hand-related) activity is a significant source of crash risk while driving. Accordingly, analysis of hand position and hand activity occupation is a useful component to understanding a driver’s read... | [] | Train |
41,924 | 30 | Title: Graph Reasoning for Question Answering with Triplet Retrieval
Abstract: Answering complex questions often requires reasoning over knowledge graphs (KGs). State-of-the-art methods often utilize entities in questions to retrieve local subgraphs, which are then fed into KG encoder, e.g. graph neural networks (GNNs)... | [] | Validation |
41,925 | 4 | Title: Re-thinking Data Availablity Attacks Against Deep Neural Networks
Abstract: The unauthorized use of personal data for commercial purposes and the clandestine acquisition of private data for training machine learning models continue to raise concerns. In response to these issues, researchers have proposed availab... | [
9969,
33220,
15940
] | Train |
41,926 | 27 | Title: Tree-structured Policy Planning with Learned Behavior Models
Abstract: Autonomous vehicles (AVs) need to reason about the multimodal behavior of neighboring agents while planning their own motion. Many existing trajectory planners seek a single trajectory that performs well under all plausible futures simultaneo... | [
8610,
4908,
11725,
37490
] | Train |
41,927 | 18 | Title: FPIM: Field-Programmable Ising Machines for Solving SAT
Abstract: On-chip analog Ising Machines (IMs) are a promising means to solve difficult combinatorial optimization problems. For scalable on-chip realizations to be practical, 1) the problem should map scalably to Ising form, 2) interconnectivity between spi... | [] | Train |
41,928 | 30 | Title: Using Kaldi for Automatic Speech Recognition of Conversational Austrian German
Abstract: As dialogue systems are becoming more and more interac-tional and social, also the accurate automatic speech recognition (ASR) of conversational speech is of increasing im-portance. This shifts the focus from short, spontane... | [] | Validation |
41,929 | 30 | Title: Dynamic Masking Rate Schedules for MLM Pretraining
Abstract: Most works on transformers trained with the Masked Language Modeling (MLM) objective use the original BERT model's fixed masking rate of 15%. We propose to instead dynamically schedule the masking rate throughout training. We find that linearly decreas... | [] | Train |
41,930 | 16 | Title: A XGBoost Algorithm-based Fatigue Recognition Model Using Face Detection
Abstract: As fatigue is normally revealed in the eyes and mouth of a person's face, this paper tried to construct a XGBoost Algorithm-Based fatigue recognition model using the two indicators, EAR (Eye Aspect Ratio) and MAR(Mouth Aspect Rati... | [] | Train |
41,931 | 16 | Title: Actor-agnostic Multi-label Action Recognition with Multi-modal Query
Abstract: Existing action recognition methods are typically actor-specific due to the intrinsic topological and apparent differences among the actors. This requires actor-specific pose estimation (e.g., humans vs. animals), leading to cumbersom... | [
12221,
41183
] | Train |
41,932 | 30 | Title: Multi-document Summarization: A Comparative Evaluation
Abstract: This paper is aimed at evaluating state-of-the-art models for Multi-document Summarization (MDS) on different types of datasets in various domains and investigating the limitations of existing models to determine future research directions. To addr... | [
42526
] | Train |
41,933 | 24 | Title: Exploring and Learning in Sparse Linear MDPs without Computationally Intractable Oracles
Abstract: The key assumption underlying linear Markov Decision Processes (MDPs) is that the learner has access to a known feature map $\phi(x, a)$ that maps state-action pairs to $d$-dimensional vectors, and that the rewards... | [] | Test |
41,934 | 24 | Title: Force-directed graph embedding with hops distance
Abstract: Graph embedding has become an increasingly important technique for analyzing graph-structured data. By representing nodes in a graph as vectors in a low-dimensional space, graph embedding enables efficient graph processing and analysis tasks like node c... | [] | Validation |
41,935 | 27 | Title: Bio-inspired compact swarms of unmanned aerial vehicles without communication and external localization
Abstract: This article presents a unique framework for deploying decentralized and infrastructure-independent swarms of homogeneous aerial vehicles in the real world without explicit communication. This is a r... | [
4682,
27877,
35630,
45306
] | Test |
41,936 | 27 | Title: Failure Detection for Motion Prediction of Autonomous Driving: An Uncertainty Perspective
Abstract: Motion prediction is essential for safe and efficient autonomous driving. However, the inexplicability and uncertainty of complex artificial intelligence models may lead to unpredictable failures of the motion pre... | [] | Validation |
41,937 | 30 | Title: Symbol emergence as interpersonal cross-situational learning: the emergence of lexical knowledge with combinatoriality
Abstract: We present a computational model for a symbol emergence system that enables the emergence of lexical knowledge with combinatoriality among agents through a Metropolis-Hastings naming g... | [] | Train |
41,938 | 24 | Title: Machine Learning to Estimate Gross Loss of Jewelry for Wax Patterns
Abstract: . In mass manufacturing of jewellery, the gross loss is estimated before manufacturing to calculate the wax weight of the pattern that would be investment casted to make multiple identical pieces of jewellery. Machine learning is a tec... | [] | Train |
41,939 | 30 | Title: Structured Thoughts Automaton: First Formalized Execution Model for Auto-Regressive Language Models
Abstract: In recent months, Language Models (LMs) have become a part of daily discourse, with focus on OpenAI and the potential of Artificial General Intelligence (AGI). Furthermore, the leaking of LLama's weights... | [
40192,
32450,
13700,
12741,
13510,
29396
] | Train |
41,940 | 30 | Title: INTapt: Information-Theoretic Adversarial Prompt Tuning for Enhanced Non-Native Speech Recognition
Abstract: Automatic Speech Recognition (ASR) systems have attained unprecedented performance with large speech models pre-trained based on self-supervised speech representation learning. However, these pre-trained ... | [] | Train |
41,941 | 23 | Title: SoTaNa: The Open-Source Software Development Assistant
Abstract: Software development plays a crucial role in driving innovation and efficiency across modern societies. To meet the demands of this dynamic field, there is a growing need for an effective software development assistant. However, existing large lang... | [
14592,
40192,
32450,
13700,
33220,
41828,
2234,
1789,
10782
] | Train |
41,942 | 10 | Title: Benchmark dataset and instance generator for real-world three-dimensional bin packing problems
Abstract: nan | [
16641,
5981
] | Test |
41,943 | 24 | Title: Incorporating Deep Q - Network with Multiclass Classification Algorithms
Abstract: In this study, we explore how Deep Q-Network (DQN) might improve the functionality of multiclass classification algorithms. We will use a benchmark dataset from Kaggle to create a framework incorporating DQN with existing supervis... | [] | Train |
41,944 | 16 | Title: Classification of Visualization Types and Perspectives in Patents
Abstract: Due to the swift growth of patent applications each year, information and multimedia retrieval approaches that facilitate patent exploration and retrieval are of utmost importance. Different types of visualizations (e.g., graphs, technic... | [] | Validation |
41,945 | 6 | Title: Telepresence Lantern - Designing an Immersive Video-Mediated Communication Device for Older Adults
Abstract: We present the Telepresence Lantern concept, developed to provide opportunities for older adults to stay in contact with remote family and friends. It provides a new approach to video-mediated communicati... | [] | Train |
41,946 | 16 | Title: RFR-WWANet: Weighted Window Attention-Based Recovery Feature Resolution Network for Unsupervised Image Registration
Abstract: The Swin transformer has recently attracted attention in medical image analysis due to its computational efficiency and long-range modeling capability. Owing to these properties, the Swin... | [] | Train |
41,947 | 16 | Title: AutoPaint: A Self-Inpainting Method for Unsupervised Anomaly Detection
Abstract: Robust and accurate detection and segmentation of heterogenous tumors appearing in different anatomical organs with supervised methods require large-scale labeled datasets covering all possible types of diseases. Due to the unavaila... | [] | Train |
41,948 | 16 | Title: DifFIQA: Face Image Quality Assessment Using Denoising Diffusion Probabilistic Models
Abstract: Modern face recognition (FR) models excel in constrained scenarios, but often suffer from decreased performance when deployed in unconstrained (real-world) environments due to uncertainties surrounding the quality of ... | [
23153,
500,
1365,
35239
] | Train |
41,949 | 27 | Title: ARDIE: AR, Dialogue, and Eye Gaze Policies for Human-Robot Collaboration
Abstract: Human-robot collaboration (HRC) has become increasingly relevant in industrial, household, and commercial settings. However, the effectiveness of such collaborations is highly dependent on the human and robots' situational awarene... | [] | Test |
41,950 | 16 | Title: Continuous Learning Based Novelty Aware Emotion Recognition System
Abstract: Current works in human emotion recognition follow the traditional closed learning approach governed by rigid rules without any consideration of novelty. Classification models are trained on some collected datasets and expected to have t... | [] | Train |
41,951 | 24 | Title: A Comparative Study of Federated Learning Models for COVID-19 Detection
Abstract: Deep learning is effective in diagnosing COVID-19 and requires a large amount of data to be effectively trained. Due to data and privacy regulations, hospitals generally have no access to data from other hospitals. Federated learni... | [] | Train |
41,952 | 4 | Title: One-to-Multiple Clean-Label Image Camouflage (OmClic) based Backdoor Attack on Deep Learning
Abstract: Image camouflage has been utilized to create clean-label poisoned images for implanting backdoor into a DL model. But there exists a crucial limitation that one attack/poisoned image can only fit a single input... | [] | Train |
41,953 | 16 | Title: Point Cloud Classification Using Content-based Transformer via Clustering in Feature Space
Abstract: Recently, there have been some attempts of Transformer in 3D point cloud classification. In order to reduce computations, most existing methods focus on local spatial attention, but ignore their content and fail ... | [] | Validation |
41,954 | 27 | Title: Deep Imitation Learning for Automated Drop-In Gamma Probe Manipulation
Abstract: Prostate cancer is one of the most common cancers in the UK, and Robotic-Assisted Surgery (RAS) has become a common method for prostate cancer surgery. Sentinel lymph node biopsy (SLNB) is an important component of prostate cancer s... | [] | Train |
41,955 | 10 | Title: MetRoBERTa: Leveraging Traditional Customer Relationship Management Data to Develop a Transit-Topic-Aware Language Model
Abstract: Transit riders' feedback provided in ridership surveys, customer relationship management (CRM) channels, and in more recent times, through social media is key for transit agencies to... | [] | Validation |
41,956 | 16 | Title: An Explainable Model-Agnostic Algorithm for CNN-based Biometrics Verification
Abstract: This paper describes an adaptation of the Local Interpretable Model-Agnostic Explanations (LIME) AI method to operate under a biometric verification setting. LIME was initially proposed for networks with the same output class... | [] | Train |
41,957 | 24 | Title: Improved Regret Bounds for Linear Adversarial MDPs via Linear Optimization
Abstract: Learning Markov decision processes (MDP) in an adversarial environment has been a challenging problem. The problem becomes even more challenging with function approximation, since the underlying structure of the loss function an... | [
6456,
29372,
18933,
4422
] | Train |
41,958 | 28 | Title: Approximate Maximum a Posteriori Carrier Phase Estimator for Wiener Phase Noise Channels using Belief Propagation
Abstract: The blind phase search (BPS) algorithm for carrier phase estimation is known to have sub-optimal performance for probabilistically shaped constellations. We present a belief propagation bas... | [] | Validation |
41,959 | 24 | Title: DeepSI: Interactive Deep Learning for Semantic Interaction
Abstract: In this paper, we design novel interactive deep learning methods to improve semantic interactions in visual analytics applications. The ability of semantic interaction to infer analysts’ precise intents during sensemaking is dependent on the qu... | [
44005
] | Validation |
41,960 | 24 | Title: Visual Analytics For Machine Learning: A Data Perspective Survey
Abstract: The past decade has witnessed a plethora of works that leverage the power of visualization (VIS) to interpret machine learning (ML) models. The corresponding research topic, VIS4ML, keeps growing at a fast pace. To better organize the eno... | [
7351
] | Train |
41,961 | 30 | Title: Adaptive Ordered Information Extraction with Deep Reinforcement Learning
Abstract: Information extraction (IE) has been studied extensively. The existing methods always follow a fixed extraction order for complex IE tasks with multiple elements to be extracted in one instance such as event extraction. However, w... | [] | Test |
41,962 | 6 | Title: Referring to Screen Texts with Voice Assistants
Abstract: Voice assistants help users make phone calls, send messages, create events, navigate and do a lot more. However assistants have limited capacity to understand their users’ context. In this work, we aim to take a step in this direction. Our work dives into... | [] | Train |
41,963 | 30 | Title: TopoBERT: Plug and Play Toponym Recognition Module Harnessing Fine-tuned BERT
Abstract: Extracting precise geographical information from textual contents is crucial in a plethora of applications. For example, during hazardous events, a robust and unbiased toponym extraction framework can provide an avenue to tie... | [] | Train |
41,964 | 24 | Title: Differentially Private Online Bayesian Estimation With Adaptive Truncation
Abstract: , | [] | Test |
41,965 | 3 | Title: Bridging Deliberative Democracy and Deployment of Societal-Scale Technology
Abstract: This position paper encourages the Human-Computer Interaction (HCI) community to focus on designing deliberative processes to inform and coordinate technology and policy design for large language models (LLMs) -- a `societal-sc... | [
37563
] | Test |
41,966 | 24 | Title: Catastrophic Forgetting in the Context of Model Updates
Abstract: A large obstacle to deploying deep learning models in practice is the process of updating models post-deployment (ideally, frequently). Deep neural networks can cost many thousands of dollars to train. When new data comes in the pipeline, you can ... | [] | Test |
41,967 | 3 | Title: Diversity and Language Technology: How Techno-Linguistic Bias Can Cause Epistemic Injustice
Abstract: It is well known that AI-based language technology -- large language models, machine translation systems, multilingual dictionaries, and corpora -- is currently limited to 2 to 3 percent of the world's most wide... | [
39409,
5575
] | Train |
41,968 | 4 | Title: Differential Privacy with Higher Utility through Non-identical Additive Noise
Abstract: Differential privacy is typically ensured by perturbation with additive noise that is sampled from a known distribution. Conventionally, independent and identically distributed (i.i.d.) noise samples are added to each coordin... | [] | Validation |
41,969 | 4 | Title: Defensive ML: Defending Architectural Side-channels with Adversarial Obfuscation
Abstract: Side-channel attacks that use machine learning (ML) for signal analysis have become prominent threats to computer security, as ML models easily find patterns in signals. To address this problem, this paper explores using A... | [] | Train |
41,970 | 24 | Title: MCoCo: Multi-level Consistency Collaborative Multi-view Clustering
Abstract: Multi-view clustering can explore consistent information from different views to guide clustering. Most existing works focus on pursuing shallow consistency in the feature space and integrating the information of multiple views into a u... | [] | Train |
41,971 | 16 | Title: FaceXHuBERT: Text-less Speech-driven E(X)pressive 3D Facial Animation Synthesis Using Self-Supervised Speech Representation Learning
Abstract: This paper presents FaceXHuBERT, a text-less speech-driven 3D facial animation generation method that allows to capture personalized and subtle cues in speech (e.g. ident... | [] | Train |
41,972 | 23 | Title: Development of an Hybrid Blockchain and NoSQL Platform to Improve Data Management
Abstract: Blockchain technology is a Distributed Ledger Technology mainly used to store information in an immutable and secure way, but scalability and throughput issues are major challenges. Integration of the NoSQL paradigm withi... | [] | Train |
41,973 | 11 | Title: Control-aware Communication for Cooperative Adaptive Cruise Control
Abstract: Utilizing vehicle-to-everything (V2X) communication technologies, vehicle platooning systems are expected to realize a new paradigm of cooperative driving with higher levels of traffic safety and efficiency. Connected and Autonomous Ve... | [] | Train |
41,974 | 24 | Title: Bayesian Reinforcement Learning with Limited Cognitive Load
Abstract: All biological and artificial agents must learn and make decisions given limits on their ability to process information. As such, a general theory of adaptive behavior should be able to account for the complex interactions between an agent's l... | [] | Train |
41,975 | 10 | Title: Adversarial Ink: Componentwise Backward Error Attacks on Deep Learning
Abstract:
Deep neural networks are capable of state-of-the-art performance in many classification tasks. However, they are known to be vulnerable to adversarial attacks—small perturbations to the input that lead to a change in classificatio... | [] | Validation |
41,976 | 2 | Title: Synthesising Full-Information Protocols
Abstract: We lay out a model of games with imperfect information that features explicit communication actions, by which the entire observation history of a player is revealed to another player. Such full-information protocols are common in asynchronous distributed systems;... | [] | Validation |
41,977 | 30 | Title: N-gram Boosting: Improving Contextual Biasing with Normalized N-gram Targets
Abstract: Accurate transcription of proper names and technical terms is particularly important in speech-to-text applications for business conversations. These words, which are essential to understanding the conversation, are often rare... | [] | Test |
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