node_id int64 0 76.9k | label int64 0 39 | text stringlengths 13 124k | neighbors listlengths 0 3.32k | mask stringclasses 4
values |
|---|---|---|---|---|
25,678 | 27 | Title: Temporal Logic Motion Planning with Convex Optimization via Graphs of Convex Sets
Abstract: Temporal logic is a concise way of specifying complex tasks. But motion planning to achieve temporal logic specifications is difficult, and existing methods struggle to scale to complex specifications and high-dimensional... | [] | Train |
25,679 | 16 | Title: Analyzing Compression Techniques for Computer Vision
Abstract: Compressing deep networks is highly desirable for practical use-cases in computer vision applications. Several techniques have been explored in the literature, and research has been done in finding efficient strategies for combining them. For this pr... | [] | Train |
25,680 | 24 | Title: Generative Adversarial Symmetry Discovery
Abstract: Despite the success of equivariant neural networks in scientific applications, they require knowing the symmetry group a priori. However, it may be difficult to know which symmetry to use as an inductive bias in practice. Enforcing the wrong symmetry could even... | [] | Train |
25,681 | 31 | Title: POSIT: Promotion of Semantic Item Tail via Adversarial Learning
Abstract: In many recommender problems, a handful of popular items (e.g. movies/TV shows, news etc.) can be dominant in recommendations for many users. However, we know that in a large catalog of items, users are likely interested in more than what ... | [] | Train |
25,682 | 15 | Title: Dynamic Resource Partitioning for Multi-Tenant Systolic Array Based DNN Accelerator
Abstract: Deep neural networks (DNN) have become a significant applications in both cloud-server and edge devices. Meanwhile, the growing number of DNNs on those platforms raises the need to execute multiple DNNs on the same devi... | [] | Train |
25,683 | 25 | Title: Mono-to-stereo through parametric stereo generation
Abstract: Generating a stereophonic presentation from a monophonic audio signal is a challenging open task, especially if the goal is to obtain a realistic spatial imaging with a specific panning of sound elements. In this work, we propose to convert mono to st... | [
28532
] | Test |
25,684 | 30 | Title: Byte-Level Grammatical Error Correction Using Synthetic and Curated Corpora
Abstract: Grammatical error correction (GEC) is the task of correcting typos, spelling, punctuation and grammatical issues in text. Approaching the problem as a sequence-to-sequence task, we compare the use of a common subword unit vocab... | [] | Train |
25,685 | 9 | Title: Strictly Locally Testable and Resources Restricted Control Languages in Tree-Controlled Grammars
Abstract: Tree-controlled grammars are context-free grammars where the derivation process is controlled in such a way that every word on a level of the derivation tree must belong to a certain control language. We in... | [] | Validation |
25,686 | 8 | Title: 5G Non-Public Network for Industrial IoT: Operation Models
Abstract: 5G non-public networks (NPNs) play a key role in enabling critical Industrial Internet of Things (IoT) applications in various vertical industries. Among other features, 5G NPNs enable novel operation models, where the roles and responsibilitie... | [] | Test |
25,687 | 13 | Title: Formal description of ML models for unambiguous implementation
Abstract: Implementing deep neural networks in safety critical systems, in particular in the aeronautical domain, will require to offer adequate specification paradigms to preserve the semantics of the trained model on the final hardware platform. We... | [] | Test |
25,688 | 24 | Title: MIMEx: Intrinsic Rewards from Masked Input Modeling
Abstract: Exploring in environments with high-dimensional observations is hard. One promising approach for exploration is to use intrinsic rewards, which often boils down to estimating"novelty"of states, transitions, or trajectories with deep networks. Prior wo... | [] | Test |
25,689 | 30 | Title: Improving Language Model Integration for Neural Machine Translation
Abstract: The integration of language models for neural machine translation has been extensively studied in the past. It has been shown that an external language model, trained on additional target-side monolingual data, can help improve transla... | [
8571
] | Train |
25,690 | 16 | Title: TransUPR: A Transformer-based Uncertain Point Refiner for LiDAR Point Cloud Semantic Segmentation
Abstract: In this work, we target the problem of uncertain points refinement for image-based LiDAR point cloud semantic segmentation (LiDAR PCSS). This problem mainly results from the boundary-blurring problem of co... | [] | Validation |
25,691 | 24 | Title: Network Embedding Using Sparse Approximations of Random Walks
Abstract: In this paper, we propose an efficient numerical implementation of Network Embedding based on commute times, using sparse approximation of a diffusion process on the network obtained by a modified version of the diffusion wavelet algorithm. ... | [] | Train |
25,692 | 4 | Title: Security Knowledge-Guided Fuzzing of Deep Learning Libraries
Abstract: There have been many Deep Learning (DL) fuzzers proposed in the literature. However, most of them only focused on high-level APIs that are used by users, which results in a large number of APIs used by library developers being untested. Addit... | [] | Train |
25,693 | 34 | Title: DenseQMC: an efficient bit-slice implementation of the Quine-McCluskey algorithm
Abstract: This note describes a new efficient bit-slice implementation DenseQMC of the Quine-McCluskey algorithm for finding all prime implicants of a Boolean function in the dense case. It is practically feasible for n<= 23 when ru... | [] | Train |
25,694 | 16 | Title: 3D Human Pose Estimation via Intuitive Physics
Abstract: Estimating 3D humans from images often produces implausible bodies that lean, float, or penetrate the floor. Such methods ignore the fact that bodies are typically supported by the scene. A physics engine can be used to enforce physical plausibility, but t... | [
6419,
45333,
38743,
32995
] | Validation |
25,695 | 30 | Title: Weakly-Supervised Learning of Visual Relations in Multimodal Pretraining
Abstract: Recent work in vision-and-language pretraining has investigated supervised signals from object detection data to learn better, fine-grained multimodal representations. In this work, we take a step further and explore how we add su... | [
10624,
34585
] | Train |
25,696 | 25 | Title: Automated approach for source location in shallow waters
Abstract: This paper proposes a fully automated method for recovering the location of a source and medium parameters in shallow waters. The scenario involves an unknown source emitting low-frequency sound waves in a shallow water environment, and a single ... | [] | Test |
25,697 | 18 | Title: Fully analog photonic deep Reservoir Computer based on frequency multiplexing
Abstract: Reservoir computers (RC) are randomized recurrent neural networks well adapted to process time series, performing tasks such as nonlinear distortion compensation or prediction of chaotic dynamics. Deep reservoir computers (de... | [] | Train |
25,698 | 16 | Title: Auto-AVSR: Audio-Visual Speech Recognition with Automatic Labels
Abstract: Audio-visual speech recognition has received a lot of attention due to its robustness against acoustic noise. Recently, the performance of automatic, visual, and audio-visual speech recognition (ASR, VSR, and AV-ASR, respectively) has bee... | [
45317,
31366,
36618,
8186,
45020
] | Test |
25,699 | 28 | Title: Pseudo-Random Quantization Based Two-Stage Detection in One-Bit Massive MIMO Systems
Abstract: Utilizing low-resolution analog-to-digital converters (ADCs) in uplink massive multiple-input multiple-output (MIMO) systems is a practical solution to decrease power consumption. The performance gap between the low an... | [
5935
] | Train |
25,700 | 24 | Title: Quantum Graph Learning: Frontiers and Outlook
Abstract: Quantum theory has shown its superiority in enhancing machine learning. However, facilitating quantum theory to enhance graph learning is in its infancy. This survey investigates the current advances in quantum graph learning (QGL) from three perspectives, ... | [] | Test |
25,701 | 16 | Title: Optimizing PatchCore for Few/many-shot Anomaly Detection
Abstract: Few-shot anomaly detection (AD) is an emerging sub-field of general AD, and tries to distinguish between normal and anomalous data using only few selected samples. While newly proposed few-shot AD methods do compare against pre-existing algorithm... | [
33539,
4036,
37029,
18470,
30218,
17581,
10674,
25910
] | Test |
25,702 | 24 | Title: Using Decision Trees for Interpretable Supervised Clustering
Abstract: In this paper, we address an issue of finding explainable clusters of class-uniform data in labelled datasets. The issue falls into the domain of interpretable supervised clustering. Unlike traditional clustering, supervised clustering aims a... | [] | Train |
25,703 | 16 | Title: SAM-Med2D
Abstract: The Segment Anything Model (SAM) represents a state-of-the-art research advancement in natural image segmentation, achieving impressive results with input prompts such as points and bounding boxes. However, our evaluation and recent research indicate that directly applying the pretrained SAM ... | [
17633,
19907,
25189,
42599,
5864,
41008,
26292,
44854,
29270,
27866
] | Test |
25,704 | 24 | Title: Generalization Analysis for Contrastive Representation Learning
Abstract: Recently, contrastive learning has found impressive success in advancing the state of the art in solving various machine learning tasks. However, the existing generalization analysis is very limited or even not meaningful. In particular, t... | [] | Train |
25,705 | 27 | Title: Safer Gap: A Gap-based Local Planner for Safe Navigation with Nonholonomic Mobile Robots
Abstract: This paper extends the gap-based navigation technique in Potential Gap by guaranteeing safety for nonholonomic robots for all tiers of the local planner hierarchy, so called Safer Gap. The first tier generates a Be... | [] | Train |
25,706 | 30 | Title: Semantic-aware Contrastive Learning for More Accurate Semantic Parsing
Abstract: Since the meaning representations are detailed and accurate annotations which express fine-grained sequence-level semtantics, it is usually hard to train discriminative semantic parsers via Maximum Likelihood Estimation (MLE) in an ... | [] | Train |
25,707 | 24 | Title: RAYEN: Imposition of Hard Convex Constraints on Neural Networks
Abstract: This paper presents RAYEN, a framework to impose hard convex constraints on the output or latent variable of a neural network. RAYEN guarantees that, for any input or any weights of the network, the constraints are satisfied at all times. ... | [] | Test |
25,708 | 28 | Title: Asymmetric X-Secure T-Private Information Retrieval: More Databases is Not Always Better
Abstract: We consider a special case of $X$-secure $T$-private information retrieval (XSTPIR), where the security requirement is \emph{asymmetric} due to possible missing communication links between the $N$ databases conside... | [] | Validation |
25,709 | 16 | Title: Toward unlabeled multi-view 3D pedestrian detection by generalizable AI: techniques and performance analysis
Abstract: We unveil how generalizable AI can be used to improve multi-view 3D pedestrian detection in unlabeled target scenes. One way to increase generalization to new scenes is to automatically label ta... | [
33767
] | Test |
25,710 | 31 | Title: MMBAttn: Max-Mean and Bit-wise Attention for CTR Prediction
Abstract: With the increasing complexity and scale of click-through rate (CTR) prediction tasks in online advertising and recommendation systems, accurately estimating the importance of features has become a critical aspect of developing effective model... | [
7134
] | Train |
25,711 | 4 | Title: Review of Cookie Synchronization Detection Methods
Abstract: The research community has deemed cookie synchronization detection an inherently challenging task. Studies aiming to identify cookie synchronizations often share high-level design choices, but deviate amongst low-level implementations. For example, the... | [] | Test |
25,712 | 13 | Title: Fitness dependent optimizer with neural networks for COVID-19 patients
Abstract: nan | [] | Train |
25,713 | 13 | Title: How the Move Acceptance Hyper-Heuristic Copes With Local Optima: Drastic Differences Between Jumps and Cliffs
Abstract: In recent work, Lissovoi, Oliveto, and Warwicker (Artificial Intelligence (2023)) proved that the Move Acceptance Hyper-Heuristic (MAHH) leaves the local optimum of the multimodal cliff benchma... | [
28340,
20335,
39066,
8831
] | Train |
25,714 | 34 | Title: One Partition Approximating All $\ell_p$-norm Objectives in Correlation Clustering
Abstract: This paper considers correlation clustering on unweighted complete graphs. We give a combinatorial algorithm that returns a single clustering solution that is simultaneously $O(1)$-approximate for all $\ell_p$-norms of t... | [
12053
] | Validation |
25,715 | 18 | Title: High-Speed Molecular Communication in Vacuum
Abstract: Existing molecular communication systems, both theoretical and experimental, are characterized by low information rates. In this paper, inspired by time-of-flight mass spectrometry (TOFMS), we consider the design of a molecular communication system in which ... | [] | Train |
25,716 | 24 | Title: (Amplified) Banded Matrix Factorization: A unified approach to private training
Abstract: Matrix factorization (MF) mechanisms for differential privacy (DP) have substantially improved the state-of-the-art in privacy-utility-computation tradeoffs for ML applications in a variety of scenarios, but in both the cen... | [
21145,
2677,
15495
] | Train |
25,717 | 16 | Title: Hybrid Deepfake Detection Utilizing MLP and LSTM
Abstract: The growing reliance of society on social media for authentic information has done nothing but increase over the past years. This has only raised the potential consequences of the spread of misinformation. One of the growing methods in popularity is to d... | [
37404
] | Validation |
25,718 | 18 | Title: Hardware in Loop Learning with Spin Stochastic Neurons
Abstract: Despite the promise of superior efficiency and scalability, real-world deployment of emerging nanoelectronic platforms for brain-inspired computing have been limited thus far, primarily because of inter-device variations and intrinsic non-idealitie... | [] | Train |
25,719 | 24 | Title: Causal Discovery from Subsampled Time Series with Proxy Variables
Abstract: Inferring causal structures from time series data is the central interest of many scientific inquiries. A major barrier to such inference is the problem of subsampling, i.e., the frequency of measurement is much lower than that of causal... | [
31792
] | Train |
25,720 | 16 | Title: ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation
Abstract: Since real-world machine systems are running in non-stationary and continually changing environments, Continual Test-Time Adaptation (CTTA) task is proposed to adapt the pre-trained model to continually changing target domains. ... | [
4643,
5713,
42004,
43608,
13183
] | Test |
25,721 | 24 | Title: Maximum-likelihood Estimators in Physics-Informed Neural Networks for High-dimensional Inverse Problems
Abstract: Physics-informed neural networks (PINNs) have proven a suitable mathematical scaffold for solving inverse ordinary (ODE) and partial differential equations (PDE). Typical inverse PINNs are formulated... | [
14231
] | Train |
25,722 | 24 | Title: Efficient Sensitivity Analysis for Parametric Robust Markov Chains
Abstract: We provide a novel method for sensitivity analysis of parametric robust Markov chains. These models incorporate parameters and sets of probability distributions to alleviate the often unrealistic assumption that precise probabilities ar... | [
44409
] | Validation |
25,723 | 24 | Title: Approximate spectral clustering with eigenvector selection and self-tuned k
Abstract: nan | [
7820,
29022,
38287
] | Validation |
25,724 | 24 | Title: Beyond Black-Box Advice: Learning-Augmented Algorithms for MDPs with Q-Value Predictions
Abstract: We study the tradeoff between consistency and robustness in the context of a single-trajectory time-varying Markov Decision Process (MDP) with untrusted machine-learned advice. Our work departs from the typical app... | [] | Test |
25,725 | 1 | Title: Evaluating Strong Idempotence of Image Codec
Abstract: In this paper, we first propose the concept of strong idempotent codec based on idempotent codec. The idempotence of codec refers to the stability of codec to re-compression. Similarly, we define the strong idempotence of codec as the stability of codec to m... | [] | Train |
25,726 | 16 | Title: Deep learning-based lung segmentation and automatic regional template in chest x-ray images for pediatric tuberculosis
Abstract: Tuberculosis (TB) is still considered a leading cause of death and a substantial threat to global child health. Both TB infection and disease are curable using antibiotics. However, mo... | [] | Train |
25,727 | 24 | Title: Meta contrastive label correction for financial time series
Abstract: Financial applications such as stock price forecasting, usually face an issue that under the predefined labeling rules, it is hard to accurately predict the directions of stock movement. This is because traditional ways of labeling, taking Tri... | [] | Train |
25,728 | 16 | Title: Developing a Novel Image Marker to Predict the Responses of Neoadjuvant Chemotherapy (NACT) for Ovarian Cancer Patients
Abstract: Objective: Neoadjuvant chemotherapy (NACT) is one kind of treatment for advanced stage ovarian cancer patients. However, due to the nature of tumor heterogeneity, the patients' respon... | [] | Train |
25,729 | 8 | Title: On-Device Intelligence for 5G RAN: Knowledge Transfer and Federated Learning enabled UE-Centric Traffic Steering
Abstract: Traffic steering (TS) is a promising approach to support various service requirements and enhance transmission reliability by distributing network traffic loads to appropriate base stations ... | [
22986,
5938
] | Train |
25,730 | 27 | Title: Detecting Olives with Synthetic or Real Data? Olive the Above
Abstract: Modern robotics has enabled the advancement in yield estimation for precision agriculture. However, when applied to the olive industry, the high variation of olive colors and their similarity to the background leaf canopy presents a challeng... | [] | Train |
25,731 | 20 | Title: Maximum Overlap Area of Several Convex Polygons Under Translations
Abstract: Let $k \geq 2$ be a constant. Given any $k$ convex polygons in the plane with a total of $n$ vertices, we present an $O(n\log^{2k-3}n)$ time algorithm that finds a translation of each of the polygons such that the area of intersection o... | [
32268
] | Train |
25,732 | 24 | Title: Hamiltonian GAN
Abstract: A growing body of work leverages the Hamiltonian formalism as an inductive bias for physically plausible neural network based video generation. The structure of the Hamiltonian ensures conservation of a learned quantity (e.g., energy) and imposes a phase-space interpretation on the low-... | [] | Train |
25,733 | 3 | Title: Hate Raids on Twitch: Echoes of the Past, New Modalities, and Implications for Platform Governance
Abstract: In the summer of 2021, users on the livestreaming platform Twitch were targeted by a wave of "hate raids," a form of attack that overwhelms a streamer's chatroom with hateful messages, often through the u... | [] | Train |
25,734 | 30 | Title: RAIN: Your Language Models Can Align Themselves without Finetuning
Abstract: Large language models (LLMs) often demonstrate inconsistencies with human preferences. Previous research gathered human preference data and then aligned the pre-trained models using reinforcement learning or instruction tuning, the so-c... | [
40610,
45923,
13700,
28905,
25772,
17517,
17295,
43641,
6328,
22201,
16890
] | Train |
25,735 | 24 | Title: Weather2K: A Multivariate Spatio-Temporal Benchmark Dataset for Meteorological Forecasting Based on Real-Time Observation Data from Ground Weather Stations
Abstract: Weather forecasting is one of the cornerstones of meteorological work. In this paper, we present a new benchmark dataset named Weather2K, which aim... | [] | Test |
25,736 | 27 | Title: Consensus Complementarity Control for Multi-Contact MPC
Abstract: We propose a hybrid model predictive control algorithm, consensus complementarity control (C3), for systems that make and break contact with their environment. Many state-of-the-art controllers for tasks which require initiating contact with the e... | [
31572,
13934
] | Train |
25,737 | 30 | Title: Leveraging GPT-4 for Food Effect Summarization to Enhance Product-Specific Guidance Development via Iterative Prompting
Abstract: Food effect summarization from New Drug Application (NDA) is an essential component of product-specific guidance (PSG) development and assessment. However, manual summarization of foo... | [
40610,
28151,
31189,
19727
] | Validation |
25,738 | 23 | Title: Analysis of Failures and Risks in Deep Learning Model Converters: A Case Study in the ONNX Ecosystem
Abstract: Software engineers develop, fine-tune, and deploy deep learning (DL) models. They use and re-use models in a variety of development frameworks and deploy them on a range of runtime environments. In this... | [
27705,
40074,
39133,
28274
] | Train |
25,739 | 16 | Title: Break-A-Scene: Extracting Multiple Concepts from a Single Image
Abstract: Text-to-image model personalization aims to introduce a user-provided concept to the model, allowing its synthesis in diverse contexts. However, current methods primarily focus on the case of learning a single concept from multiple images ... | [
43867,
15811,
10788,
42149,
24550,
36168,
12841,
29389,
28532,
20949,
10070,
34167,
26809,
24763,
18205
] | Train |
25,740 | 4 | Title: Pre-trained transformer for adversarial purification
Abstract: With more and more deep neural networks being deployed as various daily services, their reliability is essential. It's frightening that deep neural networks are vulnerable and sensitive to adversarial attacks, the most common one of which for the ser... | [
33414,
39628,
41104,
34074,
24828
] | Test |
25,741 | 15 | Title: eGPU: A 750 MHz Class Soft GPGPU for FPGA
Abstract: This paper introduces the eGPU, a SIMT soft processor designed for FPGAs. Soft processors typically achieve modest operating frequencies, a fraction of the headline performance claimed by modern FPGA families, and obtain correspondingly modest performance resul... | [] | Test |
25,742 | 16 | Title: DiffusionTrack: Diffusion Model For Multi-Object Tracking
Abstract: Multi-object tracking (MOT) is a challenging vision task that aims to detect individual objects within a single frame and associate them across multiple frames. Recent MOT approaches can be categorized into two-stage tracking-by-detection (TBD) ... | [] | Train |
25,743 | 24 | Title: Heterogeneous Tri-stream Clustering Network
Abstract: Contrastive deep clustering has recently gained significant attention with its ability of joint contrastive learning and clustering via deep neural networks. Despite the rapid progress, previous works mostly require both positive and negative sample pairs for ... | [] | Train |
25,744 | 10 | Title: Modifications of the Miller definition of contrastive (counterfactual) explanations
Abstract: Miller recently proposed a definition of contrastive (counterfactual) explanations based on the well-known Halpern-Pearl (HP) definitions of causes and (non-contrastive) explanations. Crucially, the Miller definition wa... | [] | Train |
25,745 | 30 | Title: CDJUR-BR - A Golden Collection of Legal Document from Brazilian Justice with Fine-Grained Named Entities
Abstract: A basic task for most Legal Artificial Intelligence (Legal AI) applications is Named Entity Recognition (NER). However, texts produced in the context of legal practice make references to entities th... | [] | Validation |
25,746 | 24 | Title: Estimate Deformation Capacity of Non-Ductile RC Shear Walls using Explainable Boosting Machine
Abstract: Machine learning is becoming increasingly prevalent for tackling challenges in earthquake engineering and providing fairly reliable and accurate predictions. However, it is mostly unclear how decisions are ma... | [] | Train |
25,747 | 24 | Title: Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice
Abstract: Mirror descent value iteration (MDVI), an abstraction of Kullback-Leibler (KL) and entropy-regularized reinforcement learning (RL), has served as the basis for recent high-performing practica... | [
35942
] | Train |
25,748 | 31 | Title: Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation
Abstract: The remarkable achievements of Large Language Models (LLMs) have led to the emergence of a novel recommendation paradigm — Recommendation via LLM (RecLLM). Nevertheless, it is important to note that LLMs may ... | [
40192,
4610,
34563,
13700,
40453,
24077,
11280,
27281,
42005,
16179,
4535,
9783,
12602,
16827,
9917,
22465,
14282,
1611,
10069,
17248,
41570,
5744
] | Train |
25,749 | 16 | Title: Unlocking Masked Autoencoders as Loss Function for Image and Video Restoration
Abstract: Image and video restoration has achieved a remarkable leap with the advent of deep learning. The success of deep learning paradigm lies in three key components: data, model, and loss. Currently, many efforts have been devote... | [] | Test |
25,750 | 2 | Title: Rewriting modulo traced comonoid structure
Abstract: In this paper we adapt previous work on rewriting string diagrams using hypergraphs to the case where the underlying category has a traced comonoid structure, in which wires can be forked and the outputs of a morphism can be connected to its input. Such a stru... | [
21053
] | Validation |
25,751 | 30 | Title: Wider and Deeper LLM Networks are Fairer LLM Evaluators
Abstract: Measuring the quality of responses generated by LLMs is a challenging task, particularly when it comes to evaluating whether the response is aligned with human preference. A novel approach involves using the LLM itself to make evaluation and stabi... | [
38208,
26051,
13700,
42111,
21190,
38218,
7339,
25772,
9403,
34963,
19671,
24440,
35545,
12602,
12411,
39451,
44350,
3967
] | Train |
25,752 | 26 | Title: Emotional Framing in the Spreading of False and True Claims
Abstract: The explosive growth of online misinformation, such as false claims, has affected the social behavior of online users. In order to be persuasive and mislead the audience, false claims are made to trigger emotions in their audience. This paper ... | [] | Train |
25,753 | 16 | Title: OG: Equip vision occupancy with instance segmentation and visual grounding
Abstract: Occupancy prediction tasks focus on the inference of both geometry and semantic labels for each voxel, which is an important perception mission. However, it is still a semantic segmentation task without distinguishing various in... | [
12576,
529,
9107,
5393
] | Train |
25,754 | 16 | Title: Adversarial Attacks on Foundational Vision Models
Abstract: Rapid progress is being made in developing large, pretrained, task-agnostic foundational vision models such as CLIP, ALIGN, DINOv2, etc. In fact, we are approaching the point where these models do not have to be finetuned downstream, and can simply be u... | [
18945,
4643,
15881,
26265,
24887,
23545
] | Test |
25,755 | 16 | Title: Diffusion Model Based Low-Light Image Enhancement for Space Satellite
Abstract: Space-based visible camera is an important sensor for space situation awareness during proximity operations. However, visible camera can be easily affected by the low illumination in the space environment. Recently, deep learning app... | [] | Train |
25,756 | 30 | Title: Towards the Exploitation of LLM-based Chatbot for Providing Legal Support to Palestinian Cooperatives
Abstract: With the ever-increasing utilization of natural language processing (NLP), we started to witness over the past few years a significant transformation in our interaction with legal texts. This technolog... | [
18411
] | Train |
25,757 | 16 | Title: 1st Solution Places for CVPR 2023 UG2+ Challenge Track 2.2-Coded Target Restoration through Atmospheric Turbulence
Abstract: In this technical report, we briefly introduce the solution of our team VIELab-HUST for coded target restoration through atmospheric turbulence in CVPR 2023 UG$^2$+ Track 2.2. In this task... | [] | Test |
25,758 | 16 | Title: Trajectory-Aware Body Interaction Transformer for Multi-Person Pose Forecasting
Abstract: Multi-person pose forecasting remains a challenging problem, especially in modeling fine-grained human body interaction in complex crowd scenarios. Existing methods typically represent the whole pose sequence as a temporal ... | [
21428
] | Test |
25,759 | 27 | Title: CARTIER: Cartographic lAnguage Reasoning Targeted at Instruction Execution for Robots
Abstract: This work explores the capacity of large language models (LLMs) to address problems at the intersection of spatial planning and natural language interfaces for navigation.Our focus is on following relatively complex i... | [
22222,
135
] | Test |
25,760 | 16 | Title: You Never Get a Second Chance To Make a Good First Impression: Seeding Active Learning for 3D Semantic Segmentation
Abstract: We propose SeedAL, a method to seed active learning for efficient annotation of 3D point clouds for semantic segmentation. Active Learning (AL) iteratively selects relevant data fractions... | [
28093
] | Validation |
25,761 | 16 | Title: Visualization for Multivariate Gaussian Anomaly Detection in Images
Abstract: This paper introduces a simplified variation of the PaDiM (Pixel-Wise Anomaly Detection through Instance Modeling) method for anomaly detection in images, fitting a single multivariate Gaussian (MVG) distribution to the feature vectors... | [] | Train |
25,762 | 16 | Title: Hybrid model for Single-Stage Multi-Person Pose Estimation
Abstract: In general, human pose estimation methods are categorized into two approaches according to their architectures: regression (i.e., heatmap-free) and heatmap-based methods. The former one directly estimates precise coordinates of each keypoint us... | [] | Validation |
25,763 | 27 | Title: FusionPlanner: A Multi-task Motion Planner for Mining Trucks using Multi-sensor Fusion Method
Abstract: In recent years, significant achievements have been made in motion planning for intelligent vehicles. However, as a typical unstructured environment, open-pit mining attracts limited attention due to its compl... | [
18544,
10265,
28396
] | Train |
25,764 | 31 | Title: Distributionally-Informed Recommender System Evaluation
Abstract: Current practice for evaluating recommender systems typically focuses on point estimates of user-oriented effectiveness metrics or business metrics, sometimes combined with additional metrics for considerations such as diversity and novelty. In th... | [] | Validation |
25,765 | 4 | Title: Generating Phishing Attacks using ChatGPT
Abstract: The ability of ChatGPT to generate human-like responses and understand context has made it a popular tool for conversational agents, content creation, data analysis, and research and innovation. However, its effectiveness and ease of accessibility makes it a pr... | [
20487,
25389,
30608,
19315,
20821,
26357,
58
] | Test |
25,766 | 24 | Title: Towards a User Privacy-Aware Mobile Gaming App Installation Prediction Model
Abstract: Over the past decade, programmatic advertising has received a great deal of attention in the online advertising industry. A real-time bidding (RTB) system is rapidly becoming the most popular method to buy and sell online adve... | [] | Train |
25,767 | 16 | Title: Using Positive Matching Contrastive Loss with Facial Action Units to mitigate bias in Facial Expression Recognition
Abstract: Machine learning models automatically learn dis-criminative features from the data, and are therefore susceptible to learn strongly-correlated biases, such as using protected attributes l... | [] | Train |
25,768 | 16 | Title: Unicom: Universal and Compact Representation Learning for Image Retrieval
Abstract: Modern image retrieval methods typically rely on fine-tuning pre-trained encoders to extract image-level descriptors. However, the most widely used models are pre-trained on ImageNet-1K with limited classes. The pre-trained featu... | [
40265,
6545
] | Validation |
25,769 | 16 | Title: Sanity Checks for Saliency Methods Explaining Object Detectors
Abstract: Saliency methods are frequently used to explain Deep Neural Network-based models. Adebayo et al.'s work on evaluating saliency methods for classification models illustrate certain explanation methods fail the model and data randomization te... | [] | Train |
25,770 | 25 | Title: Attention-based Encoder-Decoder End-to-End Neural Diarization with Embedding Enhancer
Abstract: Deep neural network-based systems have significantly improved the performance of speaker diarization tasks. However, end-to-end neural diarization (EEND) systems often struggle to generalize to scenarios with an unsee... | [
44278,
33103
] | Train |
25,771 | 27 | Title: Vitreoretinal Surgical Robotic System with Autonomous Orbital Manipulation using Vector-Field Inequalities
Abstract: Vitreoretinal surgery pertains to the treatment of delicate tissues on the fundus of the eye using thin instruments. Surgeons frequently rotate the eye during surgery, which is called orbital mani... | [] | Test |
25,772 | 30 | Title: RRHF: Rank Responses to Align Language Models with Human Feedback without tears
Abstract: Reinforcement Learning from Human Feedback (RLHF) facilitates the alignment of large language models with human preferences, significantly enhancing the quality of interactions between humans and these models. InstructGPT i... | [
14592,
13700,
25734,
40330,
25751,
16028,
25892,
26792,
31145,
11567,
5041,
10163,
17076,
22201,
2490,
1595,
29115,
37316,
21190,
1991,
13257,
22098,
40155,
45923,
40804,
25830,
27248,
35445,
23159,
44537,
24316,
10749
] | Validation |
25,773 | 16 | Title: TReR: A Lightweight Transformer Re-Ranking Approach for 3D LiDAR Place Recognition
Abstract: Autonomous driving systems often require reliable loop closure detection to guarantee reduced localization drift. Recently, 3D LiDAR-based localization methods have used retrieval-based place recognition to find revisite... | [
10299
] | Validation |
25,774 | 37 | Title: Inference Rules for Binary Predicates in a Multigranular Framework
Abstract: In a multigranular framework, the two most important binary predicates are those for subsumption and disjointness. In the first part of this work, a sound and complete inference system for assertions using these predicates is developed.... | [] | Train |
25,775 | 30 | Title: NYCU-TWO at Memotion 3: Good Foundation, Good Teacher, then you have Good Meme Analysis
Abstract: This paper presents a robust solution to the Memotion 3.0 Shared Task. The goal of this task is to classify the emotion and the corresponding intensity expressed by memes, which are usually in the form of images wit... | [
13285
] | Train |
25,776 | 23 | Title: ConFL: Constraint-guided Fuzzing for Machine Learning Framework
Abstract: As machine learning gains prominence in various sectors of society for automated decision-making, concerns have risen regarding potential vulnerabilities in machine learning (ML) frameworks. Nevertheless, testing these frameworks is a daun... | [] | Test |
25,777 | 31 | Title: Automated Self-Supervised Learning for Recommendation
Abstract: Graph neural networks (GNNs) have emerged as the state-of-the-art paradigm for collaborative filtering (CF). To improve the representation quality over limited labeled data, contrastive learning has attracted attention in recommendation and benefite... | [
27166,
20982,
5559
] | Train |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.