node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
31,978 | 24 | Title: Efficiently Learning the Graph for Semi-supervised Learning
Abstract: Computational efficiency is a major bottleneck in using classic graph-based approaches for semi-supervised learning on datasets with a large number of unlabeled examples. Known techniques to improve efficiency typically involve an approximatio... | [] | Validation |
31,979 | 8 | Title: Modified Ring-Oscillator Physical Unclonable Function (RO-PUF) based PRBS Generation as a Device Signature in Distributed Brain Implants
Abstract: In this paper, we propose and evaluate a method of generating low-cost device signatures for distributed wireless brain implants, using a Pseudo-Random Binary Sequenc... | [] | Test |
31,980 | 31 | Title: Practical Cross-system Shilling Attacks with Limited Access to Data
Abstract: In shilling attacks, an adversarial party injects a few fake user profiles into a Recommender System (RS) so that the target item can be promoted or demoted. Although much effort has been devoted to developing shilling attack methods, ... | [
25639
] | Train |
31,981 | 24 | Title: Non-Parametric Learning of Stochastic Differential Equations with Fast Rates of Convergence
Abstract: We propose a novel non-parametric learning paradigm for the identification of drift and diffusion coefficients of non-linear stochastic differential equations, which relies upon discrete-time observations of the... | [] | Train |
31,982 | 24 | Title: Emergent Communication in Multi-Agent Reinforcement Learning for Future Wireless Networks
Abstract: In different wireless network scenarios, multiple network entities need to cooperate in order to achieve a common task with minimum delay and energy consumption. Future wireless networks mandate exchanging high di... | [] | Validation |
31,983 | 16 | Title: ABLE-NeRF: Attention-Based Rendering with Learnable Embeddings for Neural Radiance Field
Abstract: Neural Radiance Field (NeRF) is a popular method in representing 3D scenes by optimising a continuous volumetric scene function. Its large success which lies in applying volumetric rendering (VR) is also its Achill... | [
13010,
15051
] | Train |
31,984 | 30 | Title: MasonNLP+ at SemEval-2023 Task 8: Extracting Medical Questions, Experiences and Claims from Social Media using Knowledge-Augmented Pre-trained Language Models
Abstract: In online forums like Reddit, users share their experiences with medical conditions and treatments, including making claims, asking questions, a... | [
42238
] | Train |
31,985 | 16 | Title: Interactive Segmentation as Gaussian Process Classification
Abstract: Click-based interactive segmentation (IS) aims to extract the target objects under user interaction. For this task, most of the current deep learning (DL)-based methods mainly follow the general pipelines of semantic segmentation. Albeit achie... | [
39169,
3595,
342
] | Validation |
31,986 | 15 | Title: A Storage-Effective BTB Organization for Servers
Abstract: Many contemporary applications feature multi-megabyte instruction footprints that overwhelm the capacity of branch target buffers (BTB) and instruction caches (L1-I), causing frequent front-end stalls that inevitably hurt performance. BTB capacity is cru... | [] | Train |
31,987 | 30 | Title: LMGQS: A Large-scale Dataset for Query-focused Summarization
Abstract: Query-focused summarization (QFS) aims to extract or generate a summary of an input document that directly answers or is relevant to a given query. The lack of large-scale datasets in the form of documents, queries, and summaries has hindered... | [] | Train |
31,988 | 16 | Title: Tame a Wild Camera: In-the-Wild Monocular Camera Calibration
Abstract: 3D sensing for monocular in-the-wild images, e.g., depth estimation and 3D object detection, has become increasingly important. However, the unknown intrinsic parameter hinders their development and deployment. Previous methods for the monocu... | [
9217,
35761
] | Train |
31,989 | 23 | Title: Detecting and Optimising Team Interactions in Software Development
Abstract: The functional interaction structure of a team captures the preferences with which members of different roles interact. This paper presents a data-driven approach to detect the functional interaction structure for software development t... | [] | Train |
31,990 | 16 | Title: Leveraging Hidden Positives for Unsupervised Semantic Segmentation
Abstract: Dramatic demand for manpower to label pixel-level annotations triggered the advent of unsupervised semantic segmentation. Although the recent work employing the vision transformer (ViT) backbone shows exceptional performance, there is s... | [
21239
] | Test |
31,991 | 30 | Title: Towards Zero-Shot Personalized Table-to-Text Generation with Contrastive Persona Distillation
Abstract: Existing neural methods have shown great potentials towards generating informative text from structured tabular data as well as maintaining high content fidelity. However, few of them shed light on generating ... | [] | Train |
31,992 | 24 | Title: Learning from Invalid Data: On Constraint Satisfaction in Generative Models
Abstract: Generative models have demonstrated impressive results in vision, language, and speech. However, even with massive datasets, they struggle with precision, generating physically invalid or factually incorrect data. This is parti... | [
42595,
30197
] | Validation |
31,993 | 36 | Title: Abstracting Imperfect Information Away from Two-Player Zero-Sum Games
Abstract: In their seminal work, Nayyar et al. (2013) showed that imperfect information can be abstracted away from common-payoff games by having players publicly announce their policies as they play. This insight underpins sound solvers and d... | [
3848
] | Test |
31,994 | 15 | Title: SPAIC: A sub-μW/Channel, 16-Channel General-Purpose Event-Based Analog Front-End with Dual-Mode Encoders
Abstract: Low-power event-based analog front-ends (AFE) are a crucial component required to build efficient end-to-end neuromorphic processing systems for edge computing. Although several neuromorphic chips h... | [] | Train |
31,995 | 8 | Title: Sustainable Radio Frequency Wireless Energy Transfer for Massive Internet of Things
Abstract: Reliable energy supply remains a crucial challenge in the Internet of Things (IoT). Although relying on batteries is cost-effective for a few devices, it is neither a scalable nor a sustainable charging solution as the ... | [
10461
] | Train |
31,996 | 30 | Title: Computational Language Assessment in patients with speech, language, and communication impairments
Abstract: Speech, language, and communication symptoms enable the early detection, diagnosis, treatment planning, and monitoring of neurocognitive disease progression. Nevertheless, traditional manual neurologic as... | [] | Train |
31,997 | 13 | Title: Neural Algorithmic Reasoning for Combinatorial Optimisation
Abstract: Solving NP-hard/complete combinatorial problems with neural networks is a challenging research area that aims to surpass classical approximate algorithms. The long-term objective is to outperform hand-designed heuristics for NP-hard/complete p... | [
41734
] | Train |
31,998 | 14 | Title: Faster real root decision algorithm for symmetric polynomials
Abstract: In this paper, we consider the problem of deciding the existence of real solutions to a system of polynomial equations having real coefficients, and which are invariant under the action of the symmetric group. We construct and analyze a Mont... | [] | Train |
31,999 | 24 | Title: U-Turn Diffusion
Abstract: We present a comprehensive examination of score-based diffusion models of AI for generating synthetic images. These models hinge upon a dynamic auxiliary time mechanism driven by stochastic differential equations, wherein the score function is acquired from input images. Our investigat... | [] | Train |
32,000 | 30 | Title: Curricular Transfer Learning for Sentence Encoded Tasks
Abstract: Fine-tuning language models in a downstream task is the standard approach for many state-of-the-art methodologies in the field of NLP. However, when the distribution between the source task and target task drifts, \textit{e.g.}, conversational env... | [] | Train |
32,001 | 16 | Title: MAGVLT: Masked Generative Vision-and-Language Transformer
Abstract: While generative modeling on multimodal image-text data has been actively developed with large-scale paired datasets, there have been limited attempts to generate both image and text data by a single model rather than a generation of one fixed m... | [
25159
] | Train |
32,002 | 30 | Title: Leveraging Open Information Extraction for Improving Few-Shot Trigger Detection Domain Transfer
Abstract: Event detection is a crucial information extraction task in many domains, such as Wikipedia or news. The task typically relies on trigger detection (TD) -- identifying token spans in the text that evoke spec... | [] | Test |
32,003 | 16 | Title: FasterViT: Fast Vision Transformers with Hierarchical Attention
Abstract: We design a new family of hybrid CNN-ViT neural networks, named FasterViT, with a focus on high image throughput for computer vision (CV) applications. FasterViT combines the benefits of fast local representation learning in CNNs and globa... | [
20026,
16260
] | Train |
32,004 | 16 | Title: StereoVAE: A lightweight stereo matching system through embedded GPUs
Abstract: We present a lightweight system for stereo matching through embedded GPUs. It breaks the trade-off between accuracy and processing speed in stereo matching, enabling our embedded system to further improve the matching accuracy while ... | [] | Train |
32,005 | 34 | Title: Fast Partitioned Learned Bloom Filter
Abstract: A Bloom filter is a memory-efficient data structure for approximate membership queries used in numerous fields of computer science. Recently, learned Bloom filters that achieve better memory efficiency using machine learning models have attracted attention. One suc... | [] | Validation |
32,006 | 24 | Title: Look Beyond Bias with Entropic Adversarial Data Augmentation
Abstract: Deep neural networks do not discriminate between spurious and causal patterns, and will only learn the most predictive ones while ignoring the others. This shortcut learning behaviour is detrimental to a network’s ability to generalize to an ... | [
16098
] | Train |
32,007 | 28 | Title: Designing Cellular Networks for UAV Corridors via Bayesian Optimization
Abstract: As traditional cellular base stations (BSs) are optimized for 2D ground service, providing 3D connectivity to uncrewed aerial vehicles (UAVs) requires re-engineering of the existing infrastructure. In this paper, we propose a new m... | [
18088,
19587
] | Train |
32,008 | 30 | Title: Contextual Dynamic Prompting for Response Generation in Task-oriented Dialog Systems
Abstract: Response generation is one of the critical components in task-oriented dialog systems. Existing studies have shown that large pre-trained language models can be adapted to this task. The typical paradigm of adapting su... | [] | Train |
32,009 | 27 | Title: Autonomous Navigation in Rows of Trees and High Crops with Deep Semantic Segmentation
Abstract: Segmentation-based autonomous navigation has recently been proposed as a promising methodology to guide robotic platforms through crop rows without requiring precise GPS localization. However, existing methods are lim... | [
3528,
40442
] | Validation |
32,010 | 10 | Title: Explaining SAT Solving Using Causal Reasoning
Abstract: The past three decades have witnessed notable success in designing efficient SAT solvers, with modern solvers capable of solving industrial benchmarks containing millions of variables in just a few seconds. The success of modern SAT solvers owes to the wide... | [] | Test |
32,011 | 28 | Title: Codes and Pseudo-Geometric Designs from the Ternary m-Sequences with Welch-type decimation d=2·3(n-1)/2+1
Abstract: Pseudo-geometric designs are combinatorial designs which share the same parameters as a finite geometry design, but which are not isomorphic to that design. As far as we know, many pseudo-geometric... | [] | Train |
32,012 | 30 | Title: Automatic Discrimination of Human and Neural Machine Translation in Multilingual Scenarios
Abstract: We tackle the task of automatically discriminating between human and machine translations. As opposed to most previous work, we perform experiments in a multilingual setting, considering multiple languages and mu... | [] | Train |
32,013 | 27 | Title: Fast Path Planning Through Large Collections of Safe Boxes
Abstract: We present a fast algorithm for the design of smooth paths (or trajectories) that are constrained to lie in a collection of axis-aligned boxes. We consider the case where the number of these safe boxes is large, and basic preprocessing of them ... | [
7104,
17060,
10927
] | Train |
32,014 | 30 | Title: Guiding Language Models of Code with Global Context using Monitors
Abstract: Language models of code (LMs) work well when the surrounding code in the vicinity of generation provides sufficient context. This is not true when it becomes necessary to use types or functionality defined in another module or library, ... | [
2353,
32450,
14869,
29215
] | Train |
32,015 | 10 | Title: Measure of Uncertainty in Human Emotions
Abstract: Many research explore how well computers are able to examine emotions displayed by humans and use that data to perform different tasks. However, there have been very few research which evaluate the computers ability to generate emotion classification information... | [] | Train |
32,016 | 24 | Title: Physical Knowledge-Enhanced Deep Neural Network for Sea Surface Temperature Prediction
Abstract: Traditionally, numerical models have been deployed in oceanography studies to simulate ocean dynamics by representing physical equations. However, many factors pertaining to ocean dynamics seem to be ill-defined. We ... | [] | Test |
32,017 | 26 | Title: Phase Transitions of Diversity in Stochastic Block Model Dynamics
Abstract: This paper proposes a stochastic block model with dynamics where the population grows using preferential attachment. Nodes with higher weighted degree are more likely to recruit new nodes, and nodes always recruit nodes from their own co... | [] | Train |
32,018 | 30 | Title: RET-LLM: Towards a General Read-Write Memory for Large Language Models
Abstract: Large language models (LLMs) have significantly advanced the field of natural language processing (NLP) through their extensive parameters and comprehensive data utilization. However, existing LLMs lack a dedicated memory unit, limi... | [
8226,
13700,
33477,
13510,
28294,
16556,
634
] | Test |
32,019 | 30 | Title: Toward More Accurate and Generalizable Evaluation Metrics for Task-Oriented Dialogs
Abstract: Measurement of interaction quality is a critical task for the improvement of large-scale spoken dialog systems. Existing approaches to dialog quality estimation either focus on evaluating the quality of individual turns... | [] | Test |
32,020 | 25 | Title: SlideSpeech: A Large-Scale Slide-Enriched Audio-Visual Corpus
Abstract: Multi-Modal automatic speech recognition (ASR) techniques aim to leverage additional modalities to improve the performance of speech recognition systems. While existing approaches primarily focus on video or contextual information, the utili... | [
40186,
8687
] | Validation |
32,021 | 24 | Title: Near-Minimax-Optimal Risk-Sensitive Reinforcement Learning with CVaR
Abstract: In this paper, we study risk-sensitive Reinforcement Learning (RL), focusing on the objective of Conditional Value at Risk (CVaR) with risk tolerance $\tau$. Starting with multi-arm bandits (MABs), we show the minimax CVaR regret rate... | [
22384,
28791,
10572,
12159
] | Train |
32,022 | 4 | Title: Securing Semantic Communications with Physical-layer Semantic Encryption and Obfuscation
Abstract: Deep learning based semantic communication(DLSC) systems have shown great potential of making wireless networks significantly more efficient by only transmitting the semantics of the data. However, the open nature ... | [
6697
] | Train |
32,023 | 24 | Title: Audiovisual Moments in Time: A Large-Scale Annotated Dataset of Audiovisual Actions
Abstract: We present Audiovisual Moments in Time (AVMIT), a large-scale dataset of audiovisual action events. In an extensive annotation task 11 participants labelled a subset of 3-second audiovisual videos from the Moments in Ti... | [] | Train |
32,024 | 4 | Title: An Empirical Study on Using Large Language Models to Analyze Software Supply Chain Security Failures
Abstract: As we increasingly depend on software systems, the consequences of breaches in the software supply chain become more severe. High-profile cyber attacks like those on SolarWinds and ShadowHammer have res... | [
18411,
43566,
28783
] | Train |
32,025 | 24 | Title: A Coupled Flow Approach to Imitation Learning
Abstract: In reinforcement learning and imitation learning, an object of central importance is the state distribution induced by the policy. It plays a crucial role in the policy gradient theorem, and references to it--along with the related state-action distribution... | [] | Validation |
32,026 | 27 | Title: Passive Shape Locking for Multi-Bend Growing Inflated Beam Robots
Abstract: Shape change enables new capabilities for robots. One class of robots capable of dramatic shape change is soft growing “vine” robots. These robots usually feature global actuation methods for bending that limit them to simple, constant-c... | [
34483,
44620,
8429
] | Train |
32,027 | 6 | Title: InkSight: Leveraging Sketch Interaction for Documenting Chart Findings in Computational Notebooks
Abstract: Computational notebooks have become increasingly popular for exploratory data analysis due to their ability to support data exploration and explanation within a single document. Effective documentation for... | [
29472,
41267,
33220
] | Test |
32,028 | 16 | Title: CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations
Abstract: Geo-tagged images are publicly available in large quantities, whereas labels such as object classes are rather scarce and expensive to collect. Meanwhile, contrastive learning has achieved tremendous success in ... | [
26468,
11497,
6124,
35041
] | Validation |
32,029 | 23 | Title: StaticFixer: From Static Analysis to Static Repair
Abstract: Static analysis tools are traditionally used to detect and flag programs that violate properties. We show that static analysis tools can also be used to perturb programs that satisfy a property to construct variants that violate the property. Using thi... | [] | Train |
32,030 | 27 | Title: COLA: Characterizing and Optimizing the Tail Latency for Safe Level-4 Autonomous Vehicle Systems
Abstract: Autonomous vehicles (AVs) are envisioned to revolutionize our life by providing safe, relaxing, and convenient ground transportation. The computing systems in such vehicles are required to interpret various... | [] | Test |
32,031 | 24 | Title: Towards Sustainable Development: A Novel Integrated Machine Learning Model for Holistic Environmental Health Monitoring
Abstract: Urbanization enables economic growth but also harms the environment through degradation. Traditional methods of detecting environmental issues have proven inefficient. Machine learnin... | [] | Test |
32,032 | 23 | Title: Tool-Supported Architecture-Based Data Flow Analysis for Confidentiality
Abstract: Through the increasing interconnection between various systems, the need for confidential systems is increasing. Confidential systems share data only with authorized entities. However, estimating the confidentiality of a system is... | [] | Validation |
32,033 | 16 | Title: Look around and learn: self-improving object detection by exploration
Abstract: Object detectors often experience a drop in performance when new environmental conditions are insufficiently represented in the training data. This paper studies how to automatically fine-tune a pre-existing object detector while exp... | [] | Train |
32,034 | 16 | Title: Cheap and Quick: Efficient Vision-Language Instruction Tuning for Large Language Models
Abstract: Recently, growing interest has been aroused in extending the multimodal capability of large language models (LLMs), e.g., vision-language (VL) learning, which is regarded as the next milestone of artificial general ... | [
10624,
13700,
38796,
3853,
41104,
27282,
3609,
4251,
30243,
7982,
10163,
32947,
6453,
45242,
33981,
1854,
24259,
33220,
13408,
37987,
42983,
6770,
13564
] | Test |
32,035 | 16 | Title: You Can Mask More For Extremely Low-Bitrate Image Compression
Abstract: Learned image compression (LIC) methods have experienced significant progress during recent years. However, these methods are primarily dedicated to optimizing the rate-distortion (R-D) performance at medium and high bitrates (>0.1 bits per ... | [
1377
] | Train |
32,036 | 27 | Title: Drive Like a Human: Rethinking Autonomous Driving with Large Language Models
Abstract: In this paper, we explore the potential of using a large language model (LLM) to understand the driving environment in a human-like manner and analyze its ability to reason, interpret, and memorize when facing complex scenario... | [
35427,
13510,
295,
16556,
28396,
16078,
37742,
5104,
36174,
20345,
18459,
13564
] | Train |
32,037 | 24 | Title: The Snowflake Hypothesis: Training Deep GNN with One Node One Receptive field
Abstract: Despite Graph Neural Networks demonstrating considerable promise in graph representation learning tasks, GNNs predominantly face significant issues with over-fitting and over-smoothing as they go deeper as models of computer ... | [] | Train |
32,038 | 16 | Title: Towards Robust Real-Time Scene Text Detection: From Semantic to Instance Representation Learning
Abstract: Due to the flexible representation of arbitrary-shaped scene text and simple pipeline, bottom-up segmentation-based methods begin to be mainstream in real-time scene text detection. Despite great progress, ... | [
40219
] | Train |
32,039 | 24 | Title: Don't blame Dataset Shift! Shortcut Learning due to Gradients and Cross Entropy
Abstract: Common explanations for shortcut learning assume that the shortcut improves prediction under the training distribution but not in the test distribution. Thus, models trained via the typical gradient-based optimization of cr... | [] | Test |
32,040 | 16 | Title: SqueezerFaceNet: Reducing a Small Face Recognition CNN Even More Via Filter Pruning
Abstract: The widespread use of mobile devices for various digital services has created a need for reliable and real-time person authentication. In this context, facial recognition technologies have emerged as a dependable method... | [] | Train |
32,041 | 27 | Title: Polar Collision Grids: Effective Interaction Modelling for Pedestrian Trajectory Prediction in Shared Space Using Collision Checks
Abstract: Predicting pedestrians' trajectories is a crucial capability for autonomous vehicles' safe navigation, especially in spaces shared with pedestrians. Pedestrian motion in sh... | [
26891
] | Train |
32,042 | 24 | Title: On Exploring Node-feature and Graph-structure Diversities for Node Drop Graph Pooling
Abstract: Graph Neural Networks (GNNs) have been successfully applied to graph-level tasks in various fields such as biology, social networks, computer vision, and natural language processing. For the graph-level representation... | [] | Train |
32,043 | 28 | Title: Full-Duplex Wireless for 6G: Progress Brings New Opportunities and Challenges
Abstract: The use of in-band full-duplex (FD) enables nodes to simultaneously transmit and receive on the same frequency band, which challenges the traditional assumption in wireless network design. The full-duplex capability enhances ... | [
32233,
12770,
262,
35218
] | Test |
32,044 | 26 | Title: The Looming Threat of Fake and LLM-generated LinkedIn Profiles: Challenges and Opportunities for Detection and Prevention
Abstract: In this paper, we present a novel method for detecting fake and Large Language Model (LLM)-generated profiles in the LinkedIn Online Social Network immediately upon registration and... | [
38235
] | Train |
32,045 | 27 | Title: ERRA: An Embodied Representation and Reasoning Architecture for Long-Horizon Language-Conditioned Manipulation Tasks
Abstract: This letter introduces ERRA, an embodied learning architecture that enables robots to jointly obtain three fundamental capabilities (reasoning, planning, and interaction) for solving lon... | [
22115,
8084,
20013
] | Train |
32,046 | 30 | Title: Revealing the impact of social circumstances on the selection of cancer therapy through natural language processing of social work notes
Abstract: We aimed to investigate the impact of social circumstances on cancer therapy selection using natural language processing to derive insights from social worker documen... | [] | Train |
32,047 | 31 | Title: On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative Filtering
Abstract: Collaborative filtering (CF) is an important research direction in recommender systems that aims to make recommendations given the information on user-item interactions. Graph CF has attracted more and m... | [
30632,
31020,
2450,
26678,
23355,
1758
] | Train |
32,048 | 34 | Title: Order-Preserving Squares in Strings
Abstract: An order-preserving square in a string is a fragment of the form $uv$ where $u\neq v$ and $u$ is order-isomorphic to $v$. We show that a string $w$ of length $n$ over an alphabet of size $\sigma$ contains $\mathcal{O}(\sigma n)$ order-preserving squares that are dist... | [] | Train |
32,049 | 15 | Title: A Survey on Deep Learning Hardware Accelerators for Heterogeneous HPC Platforms
Abstract: Recent trends in deep learning (DL) imposed hardware accelerators as the most viable solution for several classes of high-performance computing (HPC) applications such as image classification, computer vision, and speech re... | [] | Train |
32,050 | 16 | Title: Improving Pseudo Labels for Open-Vocabulary Object Detection
Abstract: Recent studies show promising performance in open-vocabulary object detection (OVD) using pseudo labels (PLs) from pretrained vision and language models (VLMs). However, PLs generated by VLMs are extremely noisy due to the gap between the pre... | [
23152,
27421,
16341
] | Test |
32,051 | 24 | Title: Plan To Predict: Learning an Uncertainty-Foreseeing Model for Model-Based Reinforcement Learning
Abstract: In Model-based Reinforcement Learning (MBRL), model learning is critical since an inaccurate model can bias policy learning via generating misleading samples. However, learning an accurate model can be diff... | [
14402,
19314
] | Train |
32,052 | 16 | Title: A Dual-branch Self-supervised Representation Learning Framework for Tumour Segmentation in Whole Slide Images
Abstract: Supervised deep learning methods have achieved considerable success in medical image analysis, owing to the availability of large-scale and well-annotated datasets. However, creating such datas... | [] | Train |
32,053 | 30 | Title: Detecting Propaganda Techniques in Code-Switched Social Media Text
Abstract: Propaganda is a form of communication intended to influence the opinions and the mindset of the public to promote a particular agenda. With the rise of social media, propaganda has spread rapidly, leading to the need for automatic propa... | [] | Validation |
32,054 | 16 | Title: Perceive, Excavate and Purify: A Novel Object Mining Framework for Instance Segmentation
Abstract: Recently, instance segmentation has made great progress with the rapid development of deep neural networks. However, there still exist two main challenges including discovering indistinguishable objects and modelin... | [] | Validation |
32,055 | 24 | Title: Pruning Deep Neural Networks from a Sparsity Perspective
Abstract: In recent years, deep network pruning has attracted significant attention in order to enable the rapid deployment of AI into small devices with computation and memory constraints. Pruning is often achieved by dropping redundant weights, neurons, ... | [] | Train |
32,056 | 30 | Title: Cascading and Direct Approaches to Unsupervised Constituency Parsing on Spoken Sentences
Abstract: Past work on unsupervised parsing is constrained to written form. In this paper, we present the first study on unsupervised spoken constituency parsing given unlabeled spoken sentences and unpaired textual data. Th... | [] | Train |
32,057 | 24 | Title: Harnessing Mixed Offline Reinforcement Learning Datasets via Trajectory Weighting
Abstract: Most offline reinforcement learning (RL) algorithms return a target policy maximizing a trade-off between (1) the expected performance gain over the behavior policy that collected the dataset, and (2) the risk stemming fr... | [
4078
] | Test |
32,058 | 16 | Title: Patch-wise Features for Blur Image Classification
Abstract: Images captured through smartphone cameras often suffer from degradation, blur being one of the major ones, posing a challenge in processing these images for downstream tasks. In this paper we propose low-compute lightweight patch-wise features for imag... | [] | Test |
32,059 | 24 | Title: Benign Shortcut for Debiasing: Fair Visual Recognition via Intervention with Shortcut Features
Abstract: Machine learning models often learn to make predictions that rely on sensitive social attributes like gender and race, which poses significant fairness risks, especially in societal applications, such as hiri... | [] | Validation |
32,060 | 24 | Title: Towards Arbitrarily Expressive GNNs in O(n2) Space by Rethinking Folklore Weisfeiler-Lehman
Abstract: Message passing neural networks (MPNNs) have emerged as the most popular framework of graph neural networks (GNNs) in recent years. However, their expressive power is limited by the 1-dimensional Weisfeiler-Lehm... | [
21891,
35910,
26191,
8660,
692,
38747
] | Validation |
32,061 | 27 | Title: Direct LiDAR-Inertial Odometry and Mapping: Perceptive and Connective SLAM
Abstract: This paper presents Direct LiDAR-Inertial Odometry and Mapping (DLIOM), a robust SLAM algorithm with an explicit focus on computational efficiency, operational reliability, and real-world efficacy. DLIOM contains several key alg... | [
10953,
36666,
34274,
14335
] | Train |
32,062 | 24 | Title: GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction
Abstract: Self-supervised learning with masked autoencoders has recently gained popularity for its ability to produce effective image or textual representations, which can be applied to various downstream tasks without ... | [
8481,
43981,
14744,
37531,
13661
] | Test |
32,063 | 24 | Title: Wasserstein Auto-encoded MDPs: Formal Verification of Efficiently Distilled RL Policies with Many-sided Guarantees
Abstract: Although deep reinforcement learning (DRL) has many success stories, the large-scale deployment of policies learned through these advanced techniques in safety-critical scenarios is hinder... | [
11226
] | Train |
32,064 | 10 | Title: Ontology Pre-training for Poison Prediction
Abstract: , | [] | Train |
32,065 | 22 | Title: Descend: A Safe GPU Systems Programming Language
Abstract: Graphics Processing Units (GPU) offer tremendous computational power by following a throughput oriented computing paradigm where many thousand computational units operate in parallel. Programming this massively parallel hardware is challenging. Programme... | [] | Train |
32,066 | 24 | Title: Regions of Reliability in the Evaluation of Multivariate Probabilistic Forecasts
Abstract: Multivariate probabilistic time series forecasts are commonly evaluated via proper scoring rules, i.e., functions that are minimal in expectation for the ground-truth distribution. However, this property is not sufficient ... | [] | Test |
32,067 | 3 | Title: Evidence of Demographic rather than Ideological Segregation in News Discussion on Reddit
Abstract: We evaluate homophily and heterophily among ideological and demographic groups in a typical opinion formation context: online discussions of current news. We analyze user interactions across five years in the r/new... | [] | Train |
32,068 | 5 | Title: Recoverable and Detectable Self-Implementations of Swap
Abstract: Recoverable algorithms tolerate failures and recoveries of processes by using non-volatile memory. Of particular interest are self-implementations of key operations, in which a recoverable operation is implemented from its non-recoverable counterp... | [
34557
] | Train |
32,069 | 6 | Title: Dance with You: The Diversity Controllable Dancer Generation via Diffusion Models
Abstract: Recently, digital humans for interpersonal interaction in virtual environments have gained significant attention. In this paper, we introduce a novel multi-dancer synthesis task called partner dancer generation, which inv... | [
12489,
954,
26702,
40183
] | Train |
32,070 | 16 | Title: AdvMono3D: Advanced Monocular 3D Object Detection with Depth-Aware Robust Adversarial Training
Abstract: Monocular 3D object detection plays a pivotal role in the field of autonomous driving and numerous deep learning-based methods have made significant breakthroughs in this area. Despite the advancements in det... | [
31163,
36829
] | Test |
32,071 | 16 | Title: Grand Challenge On Detecting Cheapfakes
Abstract: Cheapfake is a recently coined term that encompasses non-AI ("cheap") manipulations of multimedia content. Cheapfakes are known to be more prevalent than deepfakes. Cheapfake media can be created using editing software for image/video manipulations, or even witho... | [
16856
] | Train |
32,072 | 30 | Title: Abductive Commonsense Reasoning Exploiting Mutually Exclusive Explanations
Abstract: Abductive reasoning aims to find plausible explanations for an event. This style of reasoning is critical for commonsense tasks where there are often multiple plausible explanations. Existing approaches for abductive reasoning i... | [] | Validation |
32,073 | 39 | Title: A simple model of influence
Abstract: We propose a simple model of influence in a network, based on edge density. In the model vertices (people) follow the opinion of the group they belong to. The opinion percolates down from an active vertex, the influencer, at the head of the group. Groups can merge, based on ... | [] | Test |
32,074 | 16 | Title: General Neural Gauge Fields
Abstract: The recent advance of neural fields, such as neural radiance fields, has significantly pushed the boundary of scene representation learning. Aiming to boost the computation efficiency and rendering quality of 3D scenes, a popular line of research maps the 3D coordinate syste... | [] | Train |
32,075 | 6 | Title: Comparing How a Chatbot References User Utterances from Previous Chatting Sessions: An Investigation of Users' Privacy Concerns and Perceptions
Abstract: Chatbots are capable of remembering and referencing previous conversations, but does this enhance user engagement or infringe on privacy? To explore this trade... | [
16556
] | Validation |
32,076 | 25 | Title: STARSS23: An Audio-Visual Dataset of Spatial Recordings of Real Scenes with Spatiotemporal Annotations of Sound Events
Abstract: While direction of arrival (DOA) of sound events is generally estimated from multichannel audio data recorded in a microphone array, sound events usually derive from visually perceptib... | [] | Train |
32,077 | 24 | Title: LUT-NN: Empower Efficient Neural Network Inference with Centroid Learning and Table Lookup
Abstract: On-device Deep Neural Network (DNN) inference consumes significant computing resources and development efforts. To alleviate that, we propose LUT-NN, the first system to empower inference by table lookup, to redu... | [] | Validation |
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