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45,978
24
Title: Reckoning with the Disagreement Problem: Explanation Consensus as a Training Objective Abstract: As neural networks increasingly make critical decisions in high-stakes settings, monitoring and explaining their behavior in an understandable and trustworthy manner is a necessity. One commonly used type of explaine...
[ 37702 ]
Test
45,979
24
Title: AutoSTL: Automated Spatio-Temporal Multi-Task Learning Abstract: Spatio-temporal prediction plays a critical role in smart city construction. Jointly modeling multiple spatio-temporal tasks can further promote an intelligent city life by integrating their inseparable relationship. However, existing studies fail ...
[]
Validation
45,980
24
Title: Multi-modal Differentiable Unsupervised Feature Selection Abstract: Multi-modal high throughput biological data presents a great scientific opportunity and a significant computational challenge. In multi-modal measurements, every sample is observed simultaneously by two or more sets of sensors. In such settings,...
[]
Validation
45,981
9
Title: The 2-MAXSAT Problem Can Be Solved in Polynomial Time Abstract: By the MAXSAT problem, we are given a set <tex>$V$</tex> of <tex>$m$</tex> variables and a collection <tex>$C$</tex> of <tex>$C$</tex> clauses over <tex>$V$</tex>. We will seek a truth assignment to maximize the number of satisfied clauses. This pro...
[]
Test
45,982
30
Title: Gender, names and other mysteries: Towards the ambiguous for gender-inclusive translation Abstract: The vast majority of work on gender in MT focuses on ‘unambiguous’ inputs, where gender markers in the source language are expected to be resolved in the output. Conversely, this paper explores the widespread case...
[]
Train
45,983
30
Title: Uzbek text summarization based on TF-IDF Abstract: The volume of information is increasing at an incredible rate with the rapid development of the Internet and electronic information services. Due to time constraints, we don't have the opportunity to read all this information. Even the task of analyzing textual ...
[]
Train
45,984
27
Title: Viia-hand: a Reach-and-grasp Restoration System Integrating Voice interaction, Computer vision and Auditory feedback for Blind Amputees Abstract: Visual feedback plays a crucial role in the process of amputation patients completing grasping in the field of prosthesis control. However, for blind and visually impa...
[]
Train
45,985
36
Title: EFX Allocations for Indivisible Chores: Matching-Based Approach Abstract: One of the most important topics in discrete fair division is whether an EFX allocation exists for any instance. Although the existence of EFX allocations is a standing open problem for both goods and chores, the understanding of the exist...
[]
Test
45,986
25
Title: Moisesdb: A dataset for source separation beyond 4-stems Abstract: In this paper, we introduce the MoisesDB dataset for musical source separation. It consists of 240 tracks from 45 artists, covering twelve musical genres. For each song, we provide its individual audio sources, organized in a two-level hierarchic...
[ 40351 ]
Train
45,987
16
Title: Revealing Similar Semantics Inside CNNs: An Interpretable Concept-based Comparison of Feature Spaces Abstract: Safety-critical applications require transparency in artificial intelligence (AI) components, but widely used convolutional neural networks (CNNs) widely used for perception tasks lack inherent interpre...
[ 45756 ]
Validation
45,988
16
Title: NEMTO: Neural Environment Matting for Novel View and Relighting Synthesis of Transparent Objects Abstract: We propose NEMTO, the first end-to-end neural rendering pipeline to model 3D transparent objects with complex geometry and unknown indices of refraction. Commonly used appearance modeling such as the Disney...
[]
Train
45,989
16
Title: ICAR: Image-based Complementary Auto Reasoning Abstract: Scene-aware Complementary Item Retrieval (CIR) is a challenging task which requires to generate a set of compatible items across domains. Due to the subjectivity, it is difficult to set up a rigorous standard for both data collection and learning objective...
[]
Train
45,990
8
Title: Data-driven Intra-Autonomous Systems Graph Generator Abstract: This paper introduces a novel deep-learning based generator of synthetic graphs that represent intra-Autonomous System (AS) in the Internet, named Deep-generative graphs for the Internet (DGGI). It also presents a novel massive dataset of real intra-...
[]
Train
45,991
24
Title: Meta-Reinforcement Learning Based on Self-Supervised Task Representation Learning Abstract: Meta-reinforcement learning enables artificial agents to learn from related training tasks and adapt to new tasks efficiently with minimal interaction data. However, most existing research is still limited to narrow task ...
[ 22630 ]
Validation
45,992
34
Title: Õptimal Fault-Tolerant Reachability Labeling in Planar Graphs Abstract: We show how to assign labels of size $\tilde O(1)$ to the vertices of a directed planar graph $G$, such that from the labels of any three vertices $s,t,f$ we can deduce in $\tilde O(1)$ time whether $t$ is reachable from $s$ in the graph $G\...
[]
Test
45,993
37
Title: Inconsistency Handling in Prioritized Databases with Universal Constraints: Complexity Analysis and Links with Active Integrity Constraints Abstract: This paper revisits the problem of repairing and querying inconsistent databases equipped with universal constraints. We adopt symmetric difference repairs, in whi...
[]
Train
45,994
16
Title: SwiftFormer: Efficient Additive Attention for Transformer-based Real-time Mobile Vision Applications Abstract: Self-attention has become a defacto choice for capturing global context in various vision applications. However, its quadratic computational complexity with respect to image resolution limits its use in...
[ 25400, 45557 ]
Train
45,995
30
Title: Less is More! A slim architecture for optimal language translation Abstract: The softmax attention mechanism has emerged as a noteworthy development in the field of Artificial Intelligence research, building on the successes of Transformer-based architectures. However, their ever increasing sizes necessitate eve...
[]
Train
45,996
2
Title: Structural Analysis of GRAFCET Control Specifications Abstract: The graphical modeling language GRAFCET is used as a formal specification language in industrial control design. This paper proposes a structural analysis that approximates the variable values of GRAFCET to allow verification on specification level....
[]
Train
45,997
3
Title: Where's the Liability in Harmful AI Speech? Abstract: Generative AI, in particular text-based"foundation models"(large models trained on a huge variety of information including the internet), can generate speech that could be problematic under a wide range of liability regimes. Machine learning practitioners reg...
[ 12896, 13700 ]
Test
45,998
24
Title: Imbalanced Large Graph Learning Framework for FPGA Logic Elements Packing Prediction Abstract: Packing is a required step in a typical FPGA CAD flow. It has high impacts to the performance of FPGA placement and routing. Early prediction of packing results can guide design optimization and expedite design closure...
[]
Validation
45,999
16
Title: PointOcc: Cylindrical Tri-Perspective View for Point-based 3D Semantic Occupancy Prediction Abstract: Semantic segmentation in autonomous driving has been undergoing an evolution from sparse point segmentation to dense voxel segmentation, where the objective is to predict the semantic occupancy of each voxel in ...
[ 37539, 35754, 30092, 529, 9107, 2933, 24600, 45087 ]
Train
46,000
24
Title: Eventual Discounting Temporal Logic Counterfactual Experience Replay Abstract: Linear temporal logic (LTL) offers a simplified way of specifying tasks for policy optimization that may otherwise be difficult to describe with scalar reward functions. However, the standard RL framework can be too myopic to find max...
[]
Train
46,001
16
Title: "Glitch in the Matrix!": A Large Scale Benchmark for Content Driven Audio-Visual Forgery Detection and Localization Abstract: Most deepfake detection methods focus on detecting spatial and/or spatio-temporal changes in facial attributes and are centered around the binary classification task of detecting whether ...
[ 35371 ]
Train
46,002
30
Title: Understanding Arithmetic Reasoning in Language Models using Causal Mediation Analysis Abstract: Mathematical reasoning in large language models (LLMs) has garnered attention in recent research, but there is limited understanding of how these models process and store information related to arithmetic tasks. In th...
[ 30331, 13510, 38834, 45275, 29375 ]
Test
46,003
34
Title: Efficient Approximation Algorithms for Scheduling Coflows with Total Weighted Completion Time in Identical Parallel Networks Abstract: This paper addresses the scheduling problem of coflows in identical parallel networks, which is a well-known $NP$-hard problem. Coflow is a relatively new network abstraction use...
[]
Train
46,004
30
Title: Sentence-level Event Detection without Triggers via Prompt Learning and Machine Reading Comprehension Abstract: The traditional way of sentence-level event detection involves two important subtasks: trigger identification and trigger classifications, where the identified event trigger words are used to classify ...
[]
Test
46,005
27
Title: Flexible Multi-DoF Aerial 3D Printing Supported with Automated Optimal Chunking Abstract: The future of 3D printing utilizing unmanned aerial vehicles (UAVs) presents a promising capability to revolutionize manufacturing and to enable the creation of large-scale structures in remote and hard- to-reach areas e.g....
[]
Train
46,006
30
Title: Explaining Competitive-Level Programming Solutions using LLMs Abstract: In this paper, we approach competitive-level programming problem-solving as a composite task of reasoning and code generation. We propose a novel method to automatically annotate natural language explanations to \textit{} pairs. We show that...
[ 33220, 36719, 3314, 22578, 3448, 39773 ]
Train
46,007
24
Title: Diffusion Probabilistic Model Based Accurate and High-Degree-of-Freedom Metasurface Inverse Design Abstract: Conventional meta-atom designs rely heavily on researchers' prior knowledge and trial-and-error searches using full-wave simulations, resulting in time-consuming and inefficient processes. Inverse design ...
[]
Train
46,008
26
Title: Parallel Unconstrained Local Search for Partitioning Irregular Graphs Abstract: We present new refinement heuristics for the balanced graph partitioning problem that break with an age-old rule. Traditionally, local search only permits moves that keep the block sizes balanced (below a size constraint). In this wo...
[ 12456 ]
Train
46,009
5
Title: Meta Computing Abstract: With the continuous improvement of information infrastructures, academia and industry have been constantly exploring new computing paradigms to fully exploit computing powers. In this paper, we propose Meta Computing, a new computing paradigm that aims to utilize all available computing ...
[]
Train
46,010
17
Title: On the derivatives of rational Bézier curves Abstract: We first point out the defects of the existing derivative formula on the rational B\'{e}zier curve, then propose a new recursive derivative formula, and discuss the expression of derivative formula at the endpoints.
[]
Validation
46,011
7
Title: Efficient simulation of the heat transfer in fused filament fabrication Abstract: nan
[]
Train
46,012
28
Title: Multiuser Cooperation for Covert Communication Under Quasi-Static Fading Abstract: This work studies a covert communication scheme for an uplink multi-user scenario in which some users are opportunistically selected to help a covert user. In particular, the selected users emit interfering signals via an orthogon...
[]
Train
46,013
27
Title: Shared Situational Awareness with V2X Communication and Set-membership Estimation Abstract: The ability to perceive and comprehend a traffic situation and to estimate the state of the vehicles and road-users in the surrounding of the ego-vehicle is known as situational awareness. Situational awareness for a heav...
[]
Train
46,014
24
Title: RAPID: Enabling Fast Online Policy Learning in Dynamic Public Cloud Environments Abstract: nan
[]
Train
46,015
27
Title: Real-Time Parallel Trajectory Optimization with Spatiotemporal Safety Constraints for Autonomous Driving in Congested Traffic Abstract: Multi-modal behaviors exhibited by surrounding vehicles (SVs) can typically lead to traffic congestion and reduce the travel efficiency of autonomous vehicles (AVs) in dense tra...
[ 1830 ]
Train
46,016
4
Title: Robustness Over Time: Understanding Adversarial Examples' Effectiveness on Longitudinal Versions of Large Language Models Abstract: Large Language Models (LLMs) have led to significant improvements in many tasks across various domains, such as code interpretation, response generation, and ambiguity handling. The...
[ 7648, 13700, 5703, 13224, 21127, 44173, 36911, 37360, 41104, 10357, 8853, 42901, 26552, 43641, 20794 ]
Train
46,017
24
Title: Awesome-META+: Meta-Learning Research and Learning Platform Abstract: Artificial intelligence technology has already had a profound impact in various fields such as economy, industry, and education, but still limited. Meta-learning, also known as"learning to learn", provides an opportunity for general artificial...
[]
Train
46,018
16
Title: Weakly-supervised 3D Pose Transfer with Keypoints Abstract: The main challenges of 3D pose transfer are: 1) Lack of paired training data with different characters performing the same pose; 2) Disentangling pose and shape information from the target mesh; 3) Difficulty in applying to meshes with different topolog...
[]
Validation
46,019
24
Title: Multimodal Manoeuvre and Trajectory Prediction for Automated Driving on Highways Using Transformer Networks Abstract: Predicting the behaviour (i.e., manoeuvre/trajectory) of other road users, including vehicles, is critical for the safe and efficient operation of autonomous vehicles (AVs), a.k.a., automated dri...
[ 37644 ]
Test
46,020
30
Title: CODET: A Benchmark for Contrastive Dialectal Evaluation of Machine Translation Abstract: Neural machine translation (NMT) systems exhibit limited robustness in handling source-side linguistic variations. Their performance tends to degrade when faced with even slight deviations in language usage, such as differen...
[ 37819 ]
Train
46,021
27
Title: Affective Robotics For Wellbeing: A Scoping Review Abstract: Affective robotics research aims to better understand human social and emotional signals to improve human-robot interaction (HRI), and has been widely used during the last decade in multiple application fields. Past works have demonstrated, indeed, the...
[]
Train
46,022
24
Title: Project Florida: Federated Learning Made Easy Abstract: We present Project Florida, a system architecture and software development kit (SDK) enabling deployment of large-scale Federated Learning (FL) solutions across a heterogeneous device ecosystem. Federated learning is an approach to machine learning based on...
[]
Test
46,023
16
Title: An End-to-End Vehicle Trajcetory Prediction Framework Abstract: Anticipating the motion of neighboring vehicles is crucial for autonomous driving, especially on congested highways where even slight motion variations can result in catastrophic collisions. An accurate prediction of a future trajectory does not jus...
[]
Validation
46,024
6
Title: 2D, 2.5D, or 3D? An Exploratory Study on Multilayer Network Visualisations in Virtual Reality Abstract: Relational information between different types of entities is often modelled by a multilayer network (MLN) -- a network with subnetworks represented by layers. The layers of an MLN can be arranged in different...
[]
Train
46,025
16
Title: Strata-NeRF : Neural Radiance Fields for Stratified Scenes Abstract: Neural Radiance Field (NeRF) approaches learn the underlying 3D representation of a scene and generate photo-realistic novel views with high fidelity. However, most proposed settings concentrate on modelling a single object or a single level of...
[]
Validation
46,026
26
Title: Unsupervised Cross-Domain Rumor Detection with Contrastive Learning and Cross-Attention Abstract: Massive rumors usually appear along with breaking news or trending topics, seriously hindering the truth. Existing rumor detection methods are mostly focused on the same domain, thus have poor performance in cross-d...
[]
Train
46,027
27
Title: A New Wave in Robotics: Survey on Recent mmWave Radar Applications in Robotics Abstract: We survey the current state of millimeterwave (mmWave) radar applications in robotics with a focus on unique capabilities, and discuss future opportunities based on the state of the art. Frequency Modulated Continuous Wave (...
[ 45944, 13289, 21213 ]
Validation
46,028
23
Title: Towards a Success Model for Automated Programming Assessment Systems Used as a Formative Assessment Tool Abstract: The assessment of source code in university education is a central and important task for lecturers of programming courses. In doing so, educators are confronted with growing numbers of students hav...
[]
Train
46,029
30
Title: Taqyim: Evaluating Arabic NLP Tasks Using ChatGPT Models Abstract: Large language models (LLMs) have demonstrated impressive performance on various downstream tasks without requiring fine-tuning, including ChatGPT, a chat-based model built on top of LLMs such as GPT-3.5 and GPT-4. Despite having a lower training...
[ 12128, 40192, 13700, 11273, 17577, 6061, 31219, 8436, 44246, 1273, 43930, 35580, 1789, 45342 ]
Validation
46,030
10
Title: On the Correspondence Between Monotonic Max-Sum GNNs and Datalog Abstract: Although there has been significant interest in applying machine learning techniques to structured data, the expressivity (i.e., a description of what can be learned) of such techniques is still poorly understood. In this paper, we study ...
[ 31136 ]
Test
46,031
28
Title: Phase Shift Design for RIS-Aided Cell-Free Massive MIMO With Improved Differential Evolution Abstract: This letter proposes a novel phase shift design for cell-free massive multiple-input and multiple-output (MIMO) systems assisted by reconfigurable intelligent surface (RIS), which only utilizes channel statisti...
[]
Test
46,032
23
Title: Towards Code Generation from BDD Test Case Specifications: A Vision Abstract: Automatic code generation has recently attracted large attention and is becoming more significant to the software development process. Solutions based on Machine Learning and Artificial Intelligence are being used to increase human and...
[]
Train
46,033
24
Title: Association Rules Mining with Auto-Encoders Abstract: Association rule mining is one of the most studied research fields of data mining, with applications ranging from grocery basket problems to explainable classification systems. Classical association rule mining algorithms have several limitations, especially ...
[]
Test
46,034
16
Title: Motion Compensation via Epipolar Consistency for In-Vivo X-Ray Microscopy Abstract: Intravital X-ray microscopy (XRM) in preclinical mouse models is of vital importance for the identification of microscopic structural pathological changes in the bone which are characteristic of osteoporosis. The complexity of th...
[]
Test
46,035
24
Title: Addressing Heterophily in Node Classification with Graph Echo State Networks Abstract: nan
[ 40890 ]
Train
46,036
10
Title: DNG: Taxonomy Expansion by Exploring the Intrinsic Directed Structure on Non-Gaussian Space Abstract: Taxonomy expansion is the process of incorporating a large number of additional nodes (i.e., ''queries'') into an existing taxonomy (i.e., ''seed''), with the most important step being the selection of appropria...
[]
Train
46,037
27
Title: Grounding Object Relations in Language-Conditioned Robotic Manipulation with Semantic-Spatial Reasoning Abstract: Grounded understanding of natural language in physical scenes can greatly benefit robots that follow human instructions. In object manipulation scenarios, existing end-to-end models are proficient at...
[]
Validation
46,038
2
Title: Pseudorandom Finite Models Abstract: We study pseudorandomness and pseudorandom generators from the perspective of logical definability. Building on results from ordinary derandomization and finite model theory, we show that it is possible to deterministically construct, in polynomial time, graphs and relational...
[]
Train
46,039
30
Title: PromptShots at the FinNLP-2022 ERAI Task: Pairwise Comparison and Unsupervised Ranking Abstract: This report describes our PromptShots submissions to a shared task on Evaluating the Rationales of Amateur Investors (ERAI). We participated in both pairwise comparison and unsupervised ranking tasks. For pairwise co...
[]
Test
46,040
30
Title: KDSTM: Neural Semi-supervised Topic Modeling with Knowledge Distillation Abstract: In text classification tasks, fine tuning pretrained language models like BERT and GPT-3 yields competitive accuracy; however, both methods require pretraining on large text datasets. In contrast, general topic modeling methods po...
[ 29946 ]
Train
46,041
11
Title: Capacity Allocation and Pricing of High Occupancy Toll Lane Systems with Heterogeneous Travelers Abstract: In this article, we study the optimal design of High Occupancy Toll (HOT) lanes. In our setup, the traffic authority determines the road capacity allocation between HOT lanes and ordinary lanes, as well as ...
[]
Test
46,042
10
Title: Understanding ProbLog as Probabilistic Argumentation Abstract: ProbLog is a popular probabilistic logic programming language/tool, widely used for applications requiring to deal with inherent uncertainties in structured domains. In this paper we study connections between ProbLog and a variant of another well-kno...
[ 6020 ]
Test
46,043
24
Title: Zero-shot Sim2Real Adaptation Across Environments Abstract: Simulation based learning often provides a cost-efficient recourse to reinforcement learning applications in robotics. However, simulators are generally incapable of accurately replicating real-world dynamics, and thus bridging the sim2real gap is an im...
[]
Train
46,044
24
Title: Online Symbolic Regression with Informative Query Abstract: Symbolic regression, the task of extracting mathematical expressions from the observed data, plays a crucial role in scientific discovery. Despite the promising performance of existing methods, most of them conduct symbolic regression in an offline sett...
[]
Test
46,045
16
Title: Pushing the Envelope for Depth-Based Semi-Supervised 3D Hand Pose Estimation with Consistency Training Abstract: Despite the significant progress that depth-based 3D hand pose estimation methods have made in recent years, they still require a large amount of labeled training data to achieve high accuracy. Howeve...
[]
Train
46,046
13
Title: Rank-Based Learning and Local Model Based Evolutionary Algorithm for High-Dimensional Expensive Multi-Objective Problems Abstract: Surrogate-assisted evolutionary algorithms have been widely developed to solve complex and computationally expensive multi-objective optimization problems in recent years. However, w...
[]
Test
46,047
16
Title: FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation Abstract: Recently, open-vocabulary learning has emerged to accomplish segmentation for arbitrary categories of text-based descriptions, which popularizes the segmentation system to more general-purpose application scenarios. However, existing me...
[ 21058, 9620, 41109, 14871, 19672 ]
Train
46,048
20
Title: Conflict Optimization for Binary CSP Applied to Minimum Partition into Plane Subgraphs and Graph Coloring Abstract: CG:SHOP is an annual geometric optimization challenge and the 2022 edition proposed the problem of coloring a certain geometric graph defined by line segments. Surprisingly, the top three teams use...
[]
Validation
46,049
36
Title: Equilibrium-Invariant Embedding, Metric Space, and Fundamental Set of 2×2 Normal-Form Games Abstract: Equilibrium solution concepts of normal-form games, such as Nash equilibria, correlated equilibria, and coarse correlated equilibria, describe the joint strategy profiles from which no player has incentive to un...
[]
Test
46,050
16
Title: A Novel Dual-pooling Attention Module for UAV Vehicle Re-identification Abstract: Vehicle re-identification (Re-ID) involves identifying the same vehicle captured by other cameras, given a vehicle image. It plays a crucial role in the development of safe cities and smart cities. With the rapid growth and impleme...
[]
Train
46,051
24
Title: Is Solving Graph Neural Tangent Kernel Equivalent to Training Graph Neural Network? Abstract: A rising trend in theoretical deep learning is to understand why deep learning works through Neural Tangent Kernel (NTK) [jgh18], a kernel method that is equivalent to using gradient descent to train a multi-layer infin...
[ 12966, 29739, 40301, 39573, 7767 ]
Train
46,052
23
Title: Boosting Source Code Learning with Data Augmentation: An Empirical Study Abstract: The next era of program understanding is being propelled by the use of machine learning to solve software problems. Recent studies have shown surprising results of source code learning, which applies deep neural networks (DNNs) to...
[ 18786, 2219, 21759 ]
Validation
46,053
16
Title: Improved YOLOv8 Detection Algorithm in Security Inspection Image Abstract: Security inspection is the first line of defense to ensure the safety of people's lives and property, and intelligent security inspection is an inevitable trend in the future development of the security inspection industry. Aiming at the ...
[]
Test
46,054
24
Title: Truthful Incentive Mechanism for Federated Learning with Crowdsourced Data Labeling Abstract: Federated learning (FL) has recently emerged as a promising paradigm that trains machine learning (ML) models on clients' devices in a distributed manner without the need of transmitting clients' data to the FL server. ...
[ 24485 ]
Train
46,055
28
Title: The Seven Worlds and Experiences of the Wireless Metaverse: Challenges and Opportunities Abstract: The wireless metaverse will create diverse user experiences at the intersection of the physical, digital, and virtual worlds. These experiences will enable novel interactions between the constituents (e.g., extende...
[ 19128 ]
Validation
46,056
16
Title: A Coarse to Fine Framework for Object Detection in High Resolution Image Abstract: Object detection is a fundamental problem in computer vision, aiming at locating and classifying objects in image. Although current devices can easily take very high-resolution images, current approaches of object detection seldom...
[]
Train
46,057
16
Title: Simplifying Open-Set Video Domain Adaptation with Contrastive Learning Abstract: In an effort to reduce annotation costs in action recognition, unsupervised video domain adaptation methods have been proposed that aim to adapt a predictive model from a labelled dataset (i.e., source domain) to an unlabelled datas...
[]
Train
46,058
27
Title: Undergraduate Research of Decentralized Localization of Roombas Through Usage of Wall-Finding Software Abstract: This paper introduces the research effort of an undergraduate research team in realizing robot localization. More specifically, the undergraduate research team developed and tested wall-following soft...
[]
Test
46,059
16
Title: Spatial and Visual Perspective-Taking via View Rotation and Relation Reasoning for Embodied Reference Understanding Abstract: nan
[ 39672, 33798 ]
Train
46,060
16
Title: The Influences of Color and Shape Features in Visual Contrastive Learning Abstract: In the field of visual representation learning, performance of contrastive learning has been catching up with the supervised method which is commonly a classification convolutional neural network. However, most of the research wo...
[]
Train
46,061
27
Title: Forming and Controlling Hitches in Midair Using Aerial Robots Abstract: The use of cables for aerial manipulation has shown to be a lightweight and versatile way to interact with objects. However, fastening objects using cables is still a challenge and human is required. In this work, we propose a novel way to s...
[]
Train
46,062
24
Title: Task-Adaptive Pseudo Labeling for Transductive Meta-Learning Abstract: Meta-learning performs adaptation through a limited amount of support set, which may cause a sample bias problem. To solve this problem, transductive meta-learning is getting more and more attention, going beyond the conventional inductive le...
[]
Train
46,063
24
Title: Entropy Neural Estimation for Graph Contrastive Learning Abstract: Contrastive learning on graphs aims at extracting distinguishable high-level representations of nodes. In this paper, we theoretically illustrate that the entropy of a dataset can be approximated by maximizing the lower bound of the mutual inform...
[]
Train
46,064
27
Title: Impact-Invariant Control: Maximizing Control Authority During Impacts Abstract: When legged robots impact their environment, they undergo large changes in their velocities in a short amount of time. Measuring and applying feedback to these velocities is challenging, further complicated by uncertainty in the impa...
[]
Train
46,065
24
Title: Bayesian Hierarchical Models for Counterfactual Estimation Abstract: Counterfactual explanations utilize feature perturbations to analyze the outcome of an original decision and recommend an actionable recourse. We argue that it is beneficial to provide several alternative explanations rather than a single point...
[]
Train
46,066
4
Title: Jailbreaker: Automated Jailbreak Across Multiple Large Language Model Chatbots Abstract: Large Language Models (LLMs) have revolutionized Artificial Intelligence (AI) services due to their exceptional proficiency in understanding and generating human-like text. LLM chatbots, in particular, have seen widespread a...
[ 35170, 41122, 13700, 45190, 40135, 22283, 18764, 43566, 27440, 37360, 40597, 566, 28575, 42010, 10749, 19583 ]
Test
46,067
22
Title: Proving Correctness of Parallel Implementations of Transition System Specifications Abstract: The overall problem addressed in this paper is the long-standing problem of program correctness, and in particular programs that describe systems of parallel executing processes. We propose a new method for proving corr...
[]
Train
46,068
24
Title: Representation Learning with Multi-Step Inverse Kinematics: An Efficient and Optimal Approach to Rich-Observation RL Abstract: We study the design of sample-efficient algorithms for reinforcement learning in the presence of rich, high-dimensional observations, formalized via the Block MDP problem. Existing algor...
[]
Validation
46,069
21
Title: Digital Twins for Trust Building in Autonomous Drones through Dynamic Safety Evaluation Abstract: The adoption process of innovative software-intensive technologies leverages complex trust concerns in different forms and shapes. Perceived safety plays a fundamental role in technology adoption, being especially c...
[]
Test
46,070
24
Title: Chain-of-Thought Predictive Control Abstract: We study generalizable policy learning from demonstrations for complex low-level control tasks (e.g., contact-rich object manipulations). We propose an imitation learning method that incorporates the idea of temporal abstraction and the planning capabilities from Hie...
[ 37252, 13564, 8983 ]
Train
46,071
24
Title: PerfSAGE: Generalized Inference Performance Predictor for Arbitrary Deep Learning Models on Edge Devices Abstract: The ability to accurately predict deep neural network (DNN) inference performance metrics, such as latency, power, and memory footprint, for an arbitrary DNN on a target hardware platform is essenti...
[]
Train
46,072
25
Title: Exploring how a Generative AI interprets music Abstract: We use Google's MusicVAE, a Variational Auto-Encoder with a 512-dimensional latent space to represent a few bars of music, and organize the latent dimensions according to their relevance in describing music. We find that, on average, most latent neurons re...
[]
Train
46,073
10
Title: Pgx: Hardware-accelerated Parallel Game Simulators for Reinforcement Learning Abstract: We propose Pgx, a suite of board game reinforcement learning (RL) environments written in JAX and optimized for GPU/TPU accelerators. By leveraging auto-vectorization and Just-In-Time (JIT) compilation of JAX, Pgx can efficie...
[ 34100 ]
Validation
46,074
34
Title: Optimal-Hash Exact String Matching Algorithms Abstract: String matching is the problem of finding all the occurrences of a pattern in a text. We propose improved versions of the fast family of string matching algorithms based on hashing $q$-grams. The improvement consists of considering minimal values $q$ such t...
[]
Train
46,075
24
Title: FinDiff: Diffusion Models for Financial Tabular Data Generation Abstract: The sharing of microdata, such as fund holdings and derivative instruments, by regulatory institutions presents a unique challenge due to strict data confidentiality and privacy regulations. These challenges often hinder the ability of bot...
[ 25368, 10317, 9125 ]
Train
46,076
16
Title: So you think you can track? Abstract: This work introduces a multi-camera tracking dataset consisting of 234 hours of video data recorded concurrently from 234 overlapping HD cameras covering a 4.2 mile stretch of 8-10 lane interstate highway near Nashville, TN. The video is recorded during a period of high traf...
[ 19075, 43159 ]
Test
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Title: Lightweight-Yet-Efficient: Revitalizing Ball-Tree for Point-to-Hyperplane Nearest Neighbor Search Abstract: Finding the nearest neighbor to a hyperplane (or Point-to-Hyperplane Nearest Neighbor Search, simply P2HNNS) is a new and challenging problem with applications in many research domains. While existing stat...
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