node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
30,378 | 25 | Title: UniCATS: A Unified Context-Aware Text-to-Speech Framework with Contextual VQ-Diffusion and Vocoding
Abstract: The utilization of discrete speech tokens, divided into semantic tokens and acoustic tokens, has been proven superior to traditional acoustic feature mel-spectrograms in terms of naturalness and robustne... | [
21778,
32645
] | Validation |
30,379 | 24 | Title: Personalized Dictionary Learning for Heterogeneous Datasets
Abstract: We introduce a relevant yet challenging problem named Personalized Dictionary Learning (PerDL), where the goal is to learn sparse linear representations from heterogeneous datasets that share some commonality. In PerDL, we model each dataset's... | [] | Train |
30,380 | 30 | Title: One model to rule them all: ranking Slovene summarizers
Abstract: Text summarization is an essential task in natural language processing, and researchers have developed various approaches over the years, ranging from rule-based systems to neural networks. However, there is no single model or approach that perfor... | [] | Test |
30,381 | 39 | Title: Ridepooling and public bus services: A comparative case-study
Abstract: This case-study aims at a comparison of the service quality of time-tabled buses as compared to on-demand ridepooling cabs in the late evening hours in the city of Wuppertal, Germany. To evaluate the efficiency of ridepooling as compared to ... | [] | Test |
30,382 | 24 | Title: Online Ad Allocation with Predictions
Abstract: Display Ads and the generalized assignment problem are two well-studied online packing problems with important applications in ad allocation and other areas. In both problems, ad impressions arrive online and have to be allocated immediately to budget-constrained a... | [] | Train |
30,383 | 4 | Title: No Easy Way Out: The Effectiveness of Deplatforming an Extremist Forum to Suppress Hate and Harassment
Abstract: Legislators and policymakers worldwide are debating options for suppressing illegal, harmful and undesirable material online. Drawing on several quantitative data sources, we show that deplatforming a... | [
30722,
42427,
13293,
37551
] | Train |
30,384 | 27 | Title: 2D Forward Looking Sonar Simulation with Ground Echo Modeling
Abstract: Imaging sonar produces clear images in underwater environments, independent of water turbidity and lighting conditions. The next generation 2D forward looking sonars are compact in size and able to generate high-resolution images which facil... | [] | Train |
30,385 | 16 | Title: AV-SAM: Segment Anything Model Meets Audio-Visual Localization and Segmentation
Abstract: Segment Anything Model (SAM) has recently shown its powerful effectiveness in visual segmentation tasks. However, there is less exploration concerning how SAM works on audio-visual tasks, such as visual sound localization a... | [
34532,
38756,
27174,
5543,
29807,
35791,
23313,
3315,
38612,
3322,
35263
] | Train |
30,386 | 30 | Title: A Meta-Evaluation of Faithfulness Metrics for Long-Form Hospital-Course Summarization
Abstract: Long-form clinical summarization of hospital admissions has real-world significance because of its potential to help both clinicians and patients. The faithfulness of summaries is critical to their safe usage in clini... | [
41706,
21363
] | Train |
30,387 | 16 | Title: Enhancing Object Detection in Ancient Documents with Synthetic Data Generation and Transformer-Based Models
Abstract: The study of ancient documents provides a glimpse into our past. However, the low image quality and intricate details commonly found in these documents present significant challenges for accurate... | [] | Test |
30,388 | 16 | Title: DeCap: Decoding CLIP Latents for Zero-Shot Captioning via Text-Only Training
Abstract: Large-scale pre-trained multi-modal models (e.g., CLIP) demonstrate strong zero-shot transfer capability in many discriminative tasks. Their adaptation to zero-shot image-conditioned text generation tasks has drawn increasing ... | [
39268,
39557,
34502,
33610,
23979,
19509,
13182
] | Train |
30,389 | 16 | Title: A Unified Framework for Slot based Response Generation in a Multimodal Dialogue System
Abstract: Natural Language Understanding (NLU) and Natural Language Generation (NLG) are the two critical components of every conversational system that handles the task of understanding the user by capturing the necessary inf... | [] | Train |
30,390 | 16 | Title: Improving Diversity in Zero-Shot GAN Adaptation with Semantic Variations
Abstract: Training deep generative models usually requires a large amount of data. To alleviate the data collection cost, the task of zero-shot GAN adaptation aims to reuse well-trained generators to synthesize images of an unseen target do... | [] | Train |
30,391 | 16 | Title: MoreauGrad: Sparse and Robust Interpretation of Neural Networks via Moreau Envelope
Abstract: Explaining the predictions of deep neural nets has been a topic of great interest in the computer vision literature. While several gradient-based interpretation schemes have been proposed to reveal the influential varia... | [] | Test |
30,392 | 28 | Title: Pointwise Maximal Leakage on General Alphabets
Abstract: Pointwise maximal leakage (PML) is an operationally meaningful privacy measure that quantifies the amount of information leaking about a secret X to a single outcome of a related random variable Y. In this paper, we extend the notion of PML to random varia... | [] | Test |
30,393 | 31 | Title: Improving Out-of-Distribution Generalization of Neural Rerankers with Contextualized Late Interaction
Abstract: Recent progress in information retrieval finds that embedding query and document representation into multi-vector yields a robust bi-encoder retriever on out-of-distribution datasets. In this paper, we... | [] | Train |
30,394 | 16 | Title: Online Camera-to-ground Calibration for Autonomous Driving
Abstract: Online camera-to-ground calibration is to generate a non-rigid body transformation between the camera and the road surface in a real-time manner. Existing solutions utilize static calibration, suffering from environmental variations such as tir... | [] | Train |
30,395 | 9 | Title: On hardness of computing analytic Brouwer degree
Abstract: We prove that counting the analytic Brouwer degree of rational coefficient polynomial maps in $\operatorname{Map}(\mathbb C^d, \mathbb C^d)$ -- presented in degree-coefficient form -- is hard for the complexity class $\operatorname{\sharp P}$, in the fol... | [] | Train |
30,396 | 16 | Title: Semantic Image Synthesis via Class-Adaptive Cross-Attention
Abstract: In semantic image synthesis, the state of the art is dominated by methods that use spatially-adaptive normalization layers, which allow for excellent visual generation quality and editing versatility. Granted their efficacy, recent research ef... | [
30402
] | Validation |
30,397 | 16 | Title: PBFormer: Capturing Complex Scene Text Shape with Polynomial Band Transformer
Abstract: We present PBFormer, an efficient yet powerful scene text detector that unifies the transformer with a novel text shape representation Polynomial Band (PB). The representation has four polynomial curves to fit a text's top, b... | [] | Train |
30,398 | 31 | Title: Interface Design to Mitigate Inflation in Recommender Systems
Abstract: Recommendation systems rely on user-provided data to learn about item quality and provide personalized recommendations. An implicit assumption when aggregating ratings into item quality is that ratings are strong indicators of item quality. ... | [] | Validation |
30,399 | 34 | Title: An Approximation Algorithm for Covering Vertices by 4^+-Paths
Abstract: This paper deals with the problem of finding a collection of vertex-disjoint paths in a given graph G=(V,E) such that each path has at least four vertices and the total number of vertices in these paths is maximized. The problem is NP-hard a... | [] | Train |
30,400 | 16 | Title: Multi-growth stage plant recognition: a case study of Palmer amaranth (Amaranthus palmeri) in cotton (Gossypium hirsutum)
Abstract: Many advanced, image-based precision agricultural technologies for plant breeding, field crop research, and site-specific crop management hinge on the reliable detection and phenoty... | [
18908
] | Validation |
30,401 | 23 | Title: On-Premise AIOps Infrastructure for a Software Editor SME: An Experience Report
Abstract: Information Technology has become a critical component in various industries, leading to an increased focus on software maintenance and monitoring. With the complexities of modern software systems, traditional maintenance a... | [] | Validation |
30,402 | 16 | Title: Scaling up GANs for Text-to-Image Synthesis
Abstract: The recent success of text-to-image synthesis has taken the world by storm and captured the general public's imagination. From a technical standpoint, it also marked a drastic change in the favored architecture to design generative image models. GANs used to ... | [
23168,
36741,
34950,
37126,
12298,
11405,
30094,
21264,
44177,
41874,
7955,
33939,
14361,
28827,
19618,
37283,
20004,
7850,
18731,
4524,
1836,
24624,
14902,
18360,
28601,
41528,
30396,
19652,
36168,
29389,
10062,
30034,
20435,
37595,
13532,
5985,... | Train |
30,403 | 28 | Title: Matroidal Entropy Functions: Constructions, Characterizations and Representations
Abstract: In this paper, we characterize matroidal entropy functions, i.e., entropy functions in the form h = log v • r, where v ≥ 2 is an integer and r is the rank function of a matroid M. By constructing the variable strength arr... | [] | Test |
30,404 | 24 | Title: Evaluating the Capabilities of Multi-modal Reasoning Models with Synthetic Task Data
Abstract: The impressive advances and applications of large language and joint language-and-visual understanding models has led to an increased need for methods of probing their potential reasoning capabilities. However, the dif... | [
10624,
33220,
14213,
23285,
12764
] | Train |
30,405 | 24 | Title: Considerations on the Theory of Training Models with Differential Privacy
Abstract: In federated learning collaborative learning takes place by a set of clients who each want to remain in control of how their local training data is used, in particular, how can each client's local training data remain private? Di... | [] | Validation |
30,406 | 30 | Title: Improved POS tagging for spontaneous, clinical speech using data augmentation
Abstract: This paper addresses the problem of improving POS tagging of transcripts of speech from clinical populations. In contrast to prior work on parsing and POS tagging of transcribed speech, we do not make use of an in domain tree... | [] | Validation |
30,407 | 10 | Title: Democratising AI: Multiple Meanings, Goals, and Methods
Abstract: Numerous parties are calling for “the democratisation of AI”, but the phrase is used to refer to a variety of goals, the pursuit of which sometimes conflict. This paper identifies four kinds of “AI democratisation” that are commonly discussed: (1)... | [
41514,
43277,
45563,
5725,
28734
] | Train |
30,408 | 24 | Title: ShapeWordNet: An Interpretable Shapelet Neural Network for Physiological Signal Classification
Abstract: Physiological signals are high-dimensional time series of great practical values in medical and healthcare applications. However, previous works on its classification fail to obtain promising results due to t... | [] | Validation |
30,409 | 28 | Title: Random Shortening of Linear Codes and Applications
Abstract: Random linear codes (RLCs) are well known to have nice combinatorial properties and near-optimal parameters in many different settings. However, getting explicit constructions matching the parameters of RLCs is challenging, and RLCs are hard to decode ... | [
40604,
2479
] | Test |
30,410 | 24 | Title: HDCC: A Hyperdimensional Computing compiler for classification on embedded systems and high-performance computing
Abstract: Hyperdimensional Computing (HDC) is a bio-inspired computing framework that has gained increasing attention, especially as a more efficient approach to machine learning (ML). This work intr... | [] | Train |
30,411 | 30 | Title: Asking Clarification Questions to Handle Ambiguity in Open-Domain QA
Abstract: Ambiguous questions persist in open-domain question answering, because formulating a precise question with a unique answer is often challenging. Previously, Min et al. (2020) have tackled this issue by generating disambiguated questio... | [] | Validation |
30,412 | 24 | Title: Time Fairness in Online Knapsack Problems
Abstract: The online knapsack problem is a classic problem in the field of online algorithms. Its canonical version asks how to pack items of different values and weights arriving online into a capacity-limited knapsack so as to maximize the total value of the admitted i... | [
20746,
45238
] | Train |
30,413 | 22 | Title: Density-Based Semantics for Reactive Probabilistic Programming
Abstract: Synchronous languages are now a standard industry tool for critical embedded systems. Designers write high-level specifications by composing streams of values using block diagrams. These languages have been extended with Bayesian reasoning ... | [] | Validation |
30,414 | 27 | Title: Control of a Back-Support Exoskeleton to Assist Carrying Activities
Abstract: Back-support exoskeletons are commonly used in the workplace to reduce low back pain risk for workers performing demanding activities. However, for the assistance of tasks differing from lifting, back-support exoskeletons potential has... | [] | Train |
30,415 | 28 | Title: Joint User Association and Transmission Scheduling in Integrated mmWave Access and Terahertz Backhaul Networks
Abstract: Terahertz wireless backhaul is expected to meet the high-speed backhaul requirements of future ultra-dense networks using millimeter-wave (mmWave) base stations (BSs). In order to achieve high... | [] | Test |
30,416 | 24 | Title: Faster Federated Learning With Decaying Number of Local SGD Steps
Abstract: In Federated Learning (FL) client devices connected over the internet collaboratively train a machine learning model without sharing their private data with a central server or with other clients. The seminal Federated Averaging (FedAvg)... | [] | Test |
30,417 | 23 | Title: A Benchmark Generator for Combinatorial Testing
Abstract: Combinatorial Testing (CT) tools are essential to test properly a wide range of systems (train systems, Graphical User Interfaces (GUIs), autonomous driving systems, etc). While there is an active research community working on developing CT tools, paradox... | [] | Train |
30,418 | 1 | Title: The Multimodal Information based Speech Processing (MISP) 2022 Challenge: Audio-Visual Diarization and Recognition
Abstract: The Multi-modal Information based Speech Processing (MISP) challenge aims to extend the application of signal processing technology in specific scenarios by promoting the research into wak... | [] | Train |
30,419 | 27 | Title: MTP-GO: Graph-Based Probabilistic Multi-Agent Trajectory Prediction with Neural ODEs
Abstract: Enabling resilient autonomous motion planning requires robust predictions of surrounding road users' future behavior. In response to this need and the associated challenges, we introduce our model titled MTP-GO. The mo... | [
628
] | Train |
30,420 | 16 | Title: SDF-3DGAN: A 3D Object Generative Method Based on Implicit Signed Distance Function
Abstract: In this paper, we develop a new method, termed SDF-3DGAN, for 3D object generation and 3D-Aware image synthesis tasks, which introduce implicit Signed Distance Function (SDF) as the 3D object representation method in th... | [] | Train |
30,421 | 24 | Title: Safety and Fairness for Content Moderation in Generative Models
Abstract: With significant advances in generative AI, new technologies are rapidly being deployed with generative components. Generative models are typically trained on large datasets, resulting in model behaviors that can mimic the worst of the con... | [
42586,
45563,
41839
] | Train |
30,422 | 27 | Title: InstaLoc: One-shot Global Lidar Localisation in Indoor Environments through Instance Learning
Abstract: Localization for autonomous robots in prior maps is crucial for their functionality. This paper offers a solution to this problem for indoor environments called InstaLoc, which operates on an individual lidar ... | [] | Test |
30,423 | 30 | Title: ProofNet: Autoformalizing and Formally Proving Undergraduate-Level Mathematics
Abstract: We introduce ProofNet, a benchmark for autoformalization and formal proving of undergraduate-level mathematics. The ProofNet benchmarks consists of 371 examples, each consisting of a formal theorem statement in Lean 3, a nat... | [
40192,
27880,
32744,
4206,
9392,
24158,
6495
] | Validation |
30,424 | 16 | Title: Self-supervised Action Representation Learning from Partial Spatio-Temporal Skeleton Sequences
Abstract: Self-supervised learning has demonstrated remarkable capability in representation learning for skeleton-based action recognition. Existing methods mainly focus on applying global data augmentation to generate... | [
23336,
27883,
5317,
6654
] | Validation |
30,425 | 30 | Title: Retrieval-Augmented Classification with Decoupled Representation
Abstract: Retrieval augmented methods have shown promising results in various classification tasks. However, existing methods focus on retrieving extra context to enrich the input, which is noise sensitive and non-expandable. In this paper, followi... | [] | Test |
30,426 | 39 | Title: Attractor identification in asynchronous Boolean dynamics with network reduction
Abstract: Identification of attractors, that is, stable states and sustained oscillations, is an important step in the analysis of Boolean models and exploration of potential variants. We describe an approach to the search for async... | [
9865
] | Train |
30,427 | 24 | Title: Autoencoder-based Radio Frequency Interference Mitigation For SMAP Passive Radiometer
Abstract: Passive space-borne radiometers operating in the 1400-1427 MHz protected frequency band face radio frequency interference (RFI) from terrestrial sources. With the growth of wireless devices and the appearance of new t... | [] | Train |
30,428 | 36 | Title: Robust Pseudo-Markets for Reusable Public Resources
Abstract: We study non-monetary mechanisms for the fair and efficient allocation of reusable public resources. We consider settings where a limited resource is repeatedly shared among a set of agents, each of whom may request to use the resource over multiple c... | [] | Test |
30,429 | 10 | Title: Modelos Generativos basados en Mecanismos de Difusión
Abstract: Diffusion-based generative models are a design framework that allows generating new images from processes analogous to those found in non-equilibrium thermodynamics. These models model the reversal of a physical diffusion process in which two miscib... | [] | Validation |
30,430 | 26 | Title: Reinforcement Learning-based Counter-Misinformation Response Generation: A Case Study of COVID-19 Vaccine Misinformation
Abstract: The spread of online misinformation threatens public health, democracy, and the broader society. While professional fact-checkers form the first line of defense by fact-checking popu... | [
39680,
14354,
10206,
20194
] | Train |
30,431 | 11 | Title: An Approach to Stochastic Dynamic Games with Asymmetric Information and Hidden Actions
Abstract: We consider in discrete time, a general class of sequential stochastic dynamic games with asymmetric information with the following features. The underlying system has Markovian dynamics controlled by the agents' joi... | [] | Train |
30,432 | 1 | Title: Interpretable Multimodal Misinformation Detection with Logic Reasoning
Abstract: Multimodal misinformation on online social platforms is becoming a critical concern due to increasing credibility and easier dissemination brought by multimedia content, compared to traditional text-only information. While existing ... | [
5486
] | Test |
30,433 | 6 | Title: ChatMPC: Natural Language based MPC Personalization
Abstract: We address the personalization of control systems, which is an attempt to adjust inherent safety and other essential control performance based on each user's personal preferences. A typical approach to personalization requires a substantial amount of ... | [
8231
] | Test |
30,434 | 27 | Title: Measuring Sociality in Driving Interaction
Abstract: Interacting with other human road users is one of the most challenging tasks for autonomous vehicles. To generate congruent driving behaviors, the awareness and understanding of sociality, which includes implicit social customs and individualized social prefer... | [] | Train |
30,435 | 24 | Title: Emergent Linear Representations in World Models of Self-Supervised Sequence Models
Abstract: How do sequence models represent their decision-making process? Prior work suggests that Othello-playing neural network learned nonlinear models of the board state (Li et al., 2023). In this work, we provide evidence of ... | [
33933,
45275,
26161,
38834,
15227
] | Validation |
30,436 | 16 | Title: Knowledge distillation with Segment Anything (SAM) model for Planetary Geological Mapping
Abstract: Planetary science research involves analysing vast amounts of remote sensing data, which are often costly and time-consuming to annotate and process. One of the essential tasks in this field is geological mapping,... | [
12128,
12704,
35263,
41008,
242,
13876,
27866,
1151
] | Train |
30,437 | 16 | Title: Camera Calibration from a Single Imaged Ellipsoid: A Moon Calibration Algorithm
Abstract: This work introduces a method that applies images of the extended bodies in the solar system to spacecraft camera calibration. The extended bodies consist of planets and moons that are well-modeled by triaxial ellipsoids. W... | [] | Train |
30,438 | 6 | Title: Understanding how the use of AI decision support tools affect critical thinking and over-reliance on technology by drug dispensers in Tanzania
Abstract: The use of AI in healthcare is designed to improve care delivery and augment the decisions of providers to enhance patient outcomes. When deployed in clinical s... | [] | Validation |
30,439 | 16 | Title: Color Prompting for Data-Free Continual Unsupervised Domain Adaptive Person Re-Identification
Abstract: Unsupervised domain adaptive person re-identification (Re-ID) methods alleviate the burden of data annotation through generating pseudo supervision messages. However, real-world Re-ID systems, with continuousl... | [
8397,
6429
] | Train |
30,440 | 16 | Title: Improving the Transferability of Adversarial Samples by Path-Augmented Method
Abstract: Deep neural networks have achieved unprecedented success on diverse vision tasks. However, they are vulnerable to adversarial noise that is imperceptible to humans. This phenomenon negatively affects their deployment in real-... | [
41762,
25670,
41578,
23025,
20179,
981,
27547
] | Train |
30,441 | 24 | Title: QBitOpt: Fast and Accurate Bitwidth Reallocation during Training
Abstract: Quantizing neural networks is one of the most effective methods for achieving efficient inference on mobile and embedded devices. In particular, mixed precision quantized (MPQ) networks, whose layers can be quantized to different bitwidth... | [
44993,
923
] | Test |
30,442 | 22 | Title: Tuning Models of Code with Compiler-Generated Reinforcement Learning Feedback
Abstract: Large Language Models (LLMs) pre-trained on code have recently emerged as the dominant approach to program synthesis. However, the code that these models produce can violate basic language-level invariants, leading to lower p... | [
11190
] | Train |
30,443 | 28 | Title: A Direct Construction of Optimal Symmetrical Z-Complementary Code Sets of Prime Power Lengths
Abstract: This paper presents a direct construction of an optimal symmetrical Z-complementary code set (SZCCS) of prime power lengths using a multi-variable function (MVF). SZCCS is a natural extension of the Z-compleme... | [] | Train |
30,444 | 10 | Title: Federated Radio Frequency Fingerprinting with Model Transfer and Adaptation
Abstract: The Radio frequency (RF) fingerprinting technique makes highly secure device authentication possible for future networks by exploiting hardware imperfections introduced during manufacturing. Although this technique has received... | [] | Test |
30,445 | 24 | Title: PruMUX: Augmenting Data Multiplexing with Model Compression
Abstract: As language models increase in size by the day, methods for efficient inference are critical to leveraging their capabilities for various applications. Prior work has investigated techniques like model pruning, knowledge distillation, and data... | [
960
] | Validation |
30,446 | 30 | Title: Acoustic Word Embeddings for Untranscribed Target Languages with Continued Pretraining and Learned Pooling
Abstract: Acoustic word embeddings are typically created by training a pooling function using pairs of word-like units. For unsupervised systems, these are mined using k-nearest neighbor (KNN) search, which... | [
39192
] | Train |
30,447 | 16 | Title: Treasure What You Have: Exploiting Similarity in Deep Neural Networks for Efficient Video Processing
Abstract: Deep learning has enabled various Internet of Things (IoT) applications. Still, designing models with high accuracy and computational efficiency remains a significant challenge, especially in real-time ... | [] | Test |
30,448 | 24 | Title: Multi-Source Domain Adaptation for Cross-Domain Fault Diagnosis of Chemical Processes
Abstract: Fault diagnosis is an essential component in process supervision. Indeed, it determines which kind of fault has occurred, given that it has been previously detected, allowing for appropriate intervention. Automatic fa... | [
41912,
25077,
8846
] | Train |
30,449 | 30 | Title: Requirement Formalisation Using Natural Language Processing and Machine Learning: A Systematic Review
Abstract: Improvement of software development methodologies attracts developers to automatic Requirement Formalisation (RF) in the Requirement Engineering (RE) field. The potential advantages by applying Natural... | [] | Train |
30,450 | 2 | Title: What Do We Know When We Know That a Theory Is Consistent?
Abstract: nan | [
35962,
45187
] | Train |
30,451 | 27 | Title: Optimal Virtual Tube Planning and Control for Swarm Robotics
Abstract: This paper presents a novel method for efficiently solving trajectory planning problems for swarm robotics in cluttered environments. While recent research has demonstrated high success rates in real-time local trajectory planning for swarm r... | [] | Train |
30,452 | 24 | Title: Advancing Adversarial Robustness Through Adversarial Logit Update
Abstract: Deep Neural Networks are susceptible to adversarial perturbations. Adversarial training and adversarial purification are among the most widely recognized defense strategies. Although these methods have different underlying logic, both re... | [] | Validation |
30,453 | 5 | Title: One Step Forward, One Step Back: FLP-Style Proofs and the Round-Reduction Technique for Colorless Tasks
Abstract: The paper compares two generic techniques for deriving lower bounds and impossibility results in distributed computing. First, we prove a speedup theorem (a-la Brandt, 2019), for wait-free colorless ... | [] | Train |
30,454 | 16 | Title: Saliency Guided Contrastive Learning on Scene Images
Abstract: Self-supervised learning holds promise in leveraging large numbers of unlabeled data. However, its success heavily relies on the highly-curated dataset, e.g., ImageNet, which still needs human cleaning. Directly learning representations from less-cur... | [] | Train |
30,455 | 13 | Title: Probabilistic Lexicase Selection
Abstract: Lexicase selection is a widely used parent selection algorithm in genetic programming, known for its success in various task domains such as program synthesis, symbolic regression, and machine learning. Due to its non-parametric and recursive nature, calculating the pro... | [
12818,
45106,
32788
] | Validation |
30,456 | 16 | Title: DetermiNet: A Large-Scale Diagnostic Dataset for Complex Visually-Grounded Referencing using Determiners
Abstract: State-of-the-art visual grounding models can achieve high detection accuracy, but they are not designed to distinguish between all objects versus only certain objects of interest. In natural languag... | [
10624,
22267
] | Train |
30,457 | 16 | Title: GANeRF: Leveraging Discriminators to Optimize Neural Radiance Fields
Abstract: Neural Radiance Fields (NeRF) have shown impressive novel view synthesis results; nonetheless, even thorough recordings yield imperfections in reconstructions, for instance due to poorly observed areas or minor lighting changes. Our g... | [
19781,
45356,
27795,
42645,
42198,
27575,
12665,
34074,
29531
] | Validation |
30,458 | 24 | Title: Scaling Dimension
Abstract: nan | [
37220
] | Train |
30,459 | 5 | Title: Hibernate Container: A Deflated Container Mode for Fast Startup and High-density Deployment in Serverless Computing
Abstract: Serverless computing is a popular cloud computing paradigm, which requires low response latency to handle on-demand user requests. There are two prominent techniques employed for reducing... | [] | Test |
30,460 | 30 | Title: TEDB System Description to a Shared Task on Euphemism Detection 2022
Abstract: In this report, we describe our Transformers for euphemism detection baseline (TEDB) submissions to a shared task on euphemism detection 2022. We cast the task of predicting euphemism as text classification. We considered Transformer-... | [] | Train |
30,461 | 16 | Title: Joint Skeletal and Semantic Embedding Loss for Micro-gesture Classification
Abstract: In this paper, we briefly introduce the solution of our team HFUT-VUT for the Micros-gesture Classification in the MiGA challenge at IJCAI 2023. The micro-gesture classification task aims at recognizing the action category of a... | [
22145,
38611
] | Train |
30,462 | 27 | Title: A Benchmarking Study on Vision-Based Grasp Synthesis Algorithms
Abstract: In this paper, we present a benchmarking study of vision-based grasp synthesis algorithms, each with distinct approaches, and provide a comparative analysis of their performance under different experimental conditions. In particular, we co... | [] | Train |
30,463 | 2 | Title: What is the Meaning of Proofs?
Abstract: nan | [] | Test |
30,464 | 16 | Title: ASF-Net: Robust Video Deraining via Temporal Alignment and Online Adaptive Learning
Abstract: In recent times, learning-based methods for video deraining have demonstrated commendable results. However, there are two critical challenges that these methods are yet to address: exploiting temporal correlations among... | [
36829
] | Test |
30,465 | 31 | Title: Towards Explainable Conversational Recommender Systems
Abstract: Explanations in conventional recommender systems have demonstrated benefits in helping the user understand the rationality of the recommendations and improving the system's efficiency, transparency, and trustworthiness. In the conversational enviro... | [] | Validation |
30,466 | 24 | Title: A Survey on Spectral Graph Neural Networks
Abstract: Graph neural networks (GNNs) have attracted considerable attention from the research community. It is well established that GNNs are usually roughly divided into spatial and spectral methods. Despite that spectral GNNs play an important role in both graph sign... | [
38747
] | Train |
30,467 | 24 | Title: SGD learning on neural networks: leap complexity and saddle-to-saddle dynamics
Abstract: We investigate the time complexity of SGD learning on fully-connected neural networks with isotropic data. We put forward a complexity measure -- the leap -- which measures how"hierarchical"target functions are. For $d$-dime... | [
6119,
36107,
41452,
39566,
22896,
4575
] | Validation |
30,468 | 30 | Title: Opening the Black Box: Analyzing Attention Weights and Hidden States in Pre-trained Language Models for Non-language Tasks
Abstract: Investigating deep learning language models has always been a significant research area due to the ``black box"nature of most advanced models. With the recent advancements in pre-t... | [
33220
] | Validation |
30,469 | 23 | Title: Adaptive Fine-tuning for Multiclass Classification over Software Requirement Data
Abstract: The analysis of software requirement specifications (SRS) using Natural Language Processing (NLP) methods has been an important study area in the software engineering field in recent years. Especially thanks to the advanc... | [] | Train |
30,470 | 26 | Title: Influential Simplices Mining via Simplicial Convolutional Network
Abstract: Simplicial complexes have recently been in the limelight of higher-order network analysis, where a minority of simplices play crucial roles in structures and functions due to network heterogeneity. We find a significant inconsistency bet... | [
28910
] | Test |
30,471 | 24 | Title: SEEDS: Exponential SDE Solvers for Fast High-Quality Sampling from Diffusion Models
Abstract: A potent class of generative models known as Diffusion Probabilistic Models (DPMs) has become prominent. A forward diffusion process adds gradually noise to data, while a model learns to gradually denoise. Sampling from... | [] | Test |
30,472 | 16 | Title: Overcoming General Knowledge Loss with Selective Parameter Finetuning
Abstract: Foundation models encompass an extensive knowledge base and offer remarkable transferability. However, this knowledge becomes outdated or insufficient over time. The challenge lies in updating foundation models to accommodate novel i... | [
10624,
44482,
33479,
41032,
46101,
24022,
19578,
13564
] | Validation |
30,473 | 30 | Title: Vacaspati: A Diverse Corpus of Bangla Literature
Abstract: Bangla (or Bengali) is the fifth most spoken language globally; yet, the state-of-the-art NLP in Bangla is lagging for even simple tasks such as lemmatization, POS tagging, etc. This is partly due to lack of a varied quality corpus. To alleviate this nee... | [] | Train |
30,474 | 16 | Title: Select-and-Combine (SAC): A Novel Multi-stereo Depth Fusion Algorithm for Point Cloud Generation via Efficient Local Markov Netlets
Abstract: Many practical systems for image-based surface reconstruction employ a stereo/multi-stereo paradigm, due to its ability to scale for large scenes and its ease of implement... | [] | Train |
30,475 | 16 | Title: Automated Real Time Delineation of Supraclavicular Brachial Plexus in Neck Ultrasonography Videos: A Deep Learning Approach
Abstract: Peripheral nerve blocks are crucial to treatment of post-surgical pain and are associated with reduction in perioperative opioid use and hospital stay. Accurate interpretation of ... | [] | Test |
30,476 | 16 | Title: Dynamic Structure Pruning for Compressing CNNs
Abstract: Structure pruning is an effective method to compress and accelerate neural networks. While filter and channel pruning are preferable to other structure pruning methods in terms of realistic acceleration and hardware compatibility, pruning methods with a fi... | [] | Train |
30,477 | 26 | Title: Beyond Active Engagement: The Significance of Lurkers in a Polarized Twitter Debate
Abstract: The emergence of new public forums in the shape of online social media has introduced unprecedented challenges to public discourse, including polarization, misinformation, and the emergence of echo chambers. While exist... | [
39680
] | Train |
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