Papers
Mon 14 Aug 2023
205 papers
- DREAMWALKER: Mental Planning for Continuous Vision-Language NavigationWorld models → World models for navigation
- UniBrain: Unify Image Reconstruction and Captioning All in One Diffusion Model from Human Brain ActivityDiffusion models → Medical imaging and segmentation
- U-Turn DiffusionDiffusion models → Diffusion foundations and sampling
- Exploring the Intersection of Large Language Models and Agent-Based Modeling via Prompt EngineeringLLM agents and tool use → Social simulation and multi-agent debate
- Jurassic World Remake: Bringing Ancient Fossils Back to Life via Zero-Shot Long Image-to-Image TranslationDiffusion models → Image generation, text-to-image and editing
- LLM Self Defense: By Self Examination, LLMs Know They Are Being TrickedLLM safety and security → Prompt injection and agent security
- DiffSED: Sound Event Detection with Denoising DiffusionDiffusion models → Audio, speech and music
- UniWorld: Autonomous Driving Pre-training via World ModelsWorld models → World models for autonomous driving +1
- ChatEval: Towards Better LLM-based Evaluators through Multi-Agent DebateLLM agents and tool use → General LLM agent frameworks and benchmarks
- CTP: Towards Vision-Language Continual Pretraining via Compatible Momentum Contrast and Topology PreservationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Machine Unlearning: Solutions and ChallengesLLM safety and security → Machine unlearning
- Bayesian Flow NetworksDiffusion models → Flow matching, time series and science
- Discrete Conditional Diffusion for Reranking in RecommendationDiffusion models → Diffusion recommenders
- CodeHelp: Using Large Language Models with Guardrails for Scalable Support in Programming ClassesLLM safety and security → Safety alignment, refusal and guardrails
- GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and TextMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Occ2Net: Robust Image Matching Based on 3D Occupancy Estimation for Occluded Regions
- Aggregating Intrinsic Information to Enhance BCI Performance through Federated Learning
- MarkovGen: Structured Prediction for Efficient Text-to-Image Generation
- A Novel Ehanced Move Recognition Algorithm Based on Pre-trained Models with Positional Embeddings
- Implementation of The Future of Drug Discovery: QuantumBased Machine Learning Simulation (QMLS)
- BIRP: Bitcoin Information Retrieval Prediction Model Based on Multimodal Pattern Matching
- Context-Aware Service Recommendation System for the Social Internet of Things
- HyperBandit: Contextual Bandit with Hypernewtork for Time-Varying User Preferences in Streaming Recommendation
- Improving Audio-Visual Speech Recognition by Lip-Subword Correlation Based Visual Pre-training and Cross-Modal Fusion Encoder
- Knowledge Prompt-tuning for Sequential Recommendation
- AIGC In China: Current Developments And Future Outlook
- Inductive Knowledge Graph Completion with GNNs and Rules: An Analysis
- Generating Individual Trajectories Using GPT-2 Trained from Scratch on Encoded Spatiotemporal Data
- Ada-QPacknet -- adaptive pruning with bit width reduction as an efficient continual learning method without forgetting
- Automated Testing and Improvement of Named Entity Recognition Systems
- SpecTracle: Wearable Facial Motion Tracking from Unobtrusive Peripheral Cameras
- Detecting The Corruption Of Online Questionnaires By Artificial Intelligence
- ST-MLP: A Cascaded Spatio-Temporal Linear Framework with Channel-Independence Strategy for Traffic Forecasting
- Adaptive Tracking of a Single-Rigid-Body Character in Various Environments
- BSED: Baseline Shapley-Based Explainable Detector
- SOTASTREAM: A Streaming Approach to Machine Translation Training
- O-1: Self-training with Oracle and 1-best Hypothesis
- Space Object Identification and Classification from Hyperspectral Material Analysis
- Order-based Structure Learning with Normalizing Flows
- Probabilistic MIMO U-Net: Efficient and Accurate Uncertainty Estimation for Pixel-wise Regression
- Symphony: Optimized DNN Model Serving using Deferred Batch Scheduling
- Omega-Regular Reward Machines
- Reducing Training Demands for 3D Gait Recognition with Deep Koopman Operator Constraints
- There Is a Digital Art History
- Playing with words: Comparing the vocabulary and lexical diversity of ChatGPT and humans
- Artificial Intelligence for Smart Transportation
- GRU-D-Weibull: A Novel Real-Time Individualized Endpoint Prediction
- Open-set Face Recognition using Ensembles trained on Clustered Data
- The Performance of Transferability Metrics does not Translate to Medical Tasks
- Physics-Informed Deep Learning to Reduce the Bias in Joint Prediction of Nitrogen Oxides
- Interaction-Aware Personalized Vehicle Trajectory Prediction Using Temporal Graph Neural Networks
- A Hybrid Deep Spatio-Temporal Attention-Based Model for Parkinson's Disease Diagnosis Using Resting State EEG Signals
- Semantic Similarity Loss for Neural Source Code Summarization
- Addressing Distribution Shift in RTB Markets via Exponential Tilting
- Locally Adaptive and Differentiable Regression
- Semantify: Simplifying the Control of 3D Morphable Models using CLIP
- Development and Evaluation of Three Chatbots for Postpartum Mood and Anxiety Disorders
- Text Injection for Capitalization and Turn-Taking Prediction in Speech Models
- Using Text Injection to Improve Recognition of Personal Identifiers in Speech
- A Unified Query-based Paradigm for Camouflaged Instance Segmentation
- PARIS: Part-level Reconstruction and Motion Analysis for Articulated Objects
- DISBELIEVE: Distance Between Client Models is Very Essential for Effective Local Model Poisoning Attacks
- The Devil in the Details: Simple and Effective Optical Flow Synthetic Data Generation
- Improving ICD-based semantic similarity by accounting for varying degrees of comorbidity
- Conformal Predictions Enhanced Expert-guided Meshing with Graph Neural Networks
- Demonstration of CORNET: A System For Learning Spreadsheet Formatting Rules By Example
- Age-Stratified Differences in Morphological Connectivity Patterns in ASD: An sMRI and Machine Learning Approach
- Bayesian Physics-Informed Neural Network for the Forward and Inverse Simulation of Engineered Nano-particles Mobility in a Contaminated Aquifer
- IOB: Integrating Optimization Transfer and Behavior Transfer for Multi-Policy Reuse
- Efficient Neural PDE-Solvers using Quantization Aware Training
- Platypus: Quick, Cheap, and Powerful Refinement of LLMs
- Dual Associated Encoder for Face Restoration
- Group Pose: A Simple Baseline for End-to-End Multi-person Pose Estimation
- Extend Wave Function Collapse to Large-Scale Content Generation
- Neural Authorship Attribution: Stylometric Analysis on Large Language Models
- A Unified Masked Autoencoder with Patchified Skeletons for Motion Synthesis
- Accurate Eye Tracking from Dense 3D Surface Reconstructions using Single-Shot Deflectometry
- Why Not? Explaining Missing Entailments with Evee (Technical Report)
- The Devil is in the Errors: Leveraging Large Language Models for Fine-grained Machine Translation Evaluation
- Cross-Attribute Matrix Factorization Model with Shared User Embedding
- Autonomous Point Cloud Segmentation for Power Lines Inspection in Smart Grid
- Comparison between parameter-efficient techniques and full fine-tuning: A case study on multilingual news article classification
- A Robust Image Forensic Framework Utilizing Multi-Colorspace Enriched Vision Transformer for Distinguishing Natural and Computer-Generated Images
- Data-Efficient Energy-Aware Participant Selection for UAV-Enabled Federated Learning
- Dialogue for Prompting: a Policy-Gradient-Based Discrete Prompt Generation for Few-shot Learning
- EasyEdit: An Easy-to-use Knowledge Editing Framework for Large Language Models
- Diving with Penguins: Detecting Penguins and their Prey in Animal-borne Underwater Videos via Deep Learning
- Efficient Real-time Smoke Filtration with 3D LiDAR for Search and Rescue with Autonomous Heterogeneous Robotic Systems
- Large-kernel Attention for Efficient and Robust Brain Lesion Segmentation
- LCE: An Augmented Combination of Bagging and Boosting in Python
- Can we Agree? On the Rash=omon Effect and the Reliability of Post-Hoc Explainable AI
- AAFACE: Attribute-aware Attentional Network for Face Recognition
- Context-Aware Planning and Environment-Aware Memory for Instruction Following Embodied Agents
- A Unifying Generator Loss Function for Generative Adversarial Networks
- RestoreFormer++: Towards Real-World Blind Face Restoration from Undegraded Key-Value Pairs
- DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost Volume
- Distance Matters For Improving Performance Estimation Under Covariate Shift
- MM-GEF: Multi-modal representation meet collaborative filtering
- AudioFormer: Audio Transformer learns audio feature representations from discrete acoustic codes
- Automated Ensemble-Based Segmentation of Adult Brain Tumors: A Novel Approach Using the BraTS AFRICA Challenge Data
All 205
- Human-centered NLP Fact-checking: Co-Designing with Fact-checkers using Matchmaking for AI
- Automated ensemble method for pediatric brain tumor segmentation
- Unified Data-Free Compression: Pruning and Quantization without Fine-Tuning
- FOLT: Fast Multiple Object Tracking from UAV-captured Videos Based on Optical Flow
- Algorithms for the Training of Neural Support Vector Machines
- Towards Robust Real-Time Scene Text Detection: From Semantic to Instance Representation Learning
- Neural Categorical Priors for Physics-Based Character Control
- Explaining Black-Box Models through Counterfactuals
- Task Offloading for Smart Glasses in Healthcare: Enhancing Detection of Elevated Body Temperature
- gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling
- SEMI-CenterNet: A Machine Learning Facilitated Approach for Semiconductor Defect Inspection
- Incorporating Annotator Uncertainty into Representations of Discourse Relations
- Efficient Learning of Quantum States Prepared With Few Non-Clifford Gates II: Single-Copy Measurements
- Human Voice Pitch Estimation: A Convolutional Network with Auto-Labeled and Synthetic Data
- HyperSparse Neural Networks: Shifting Exploration to Exploitation through Adaptive Regularization
- SAM Meets Robotic Surgery: An Empirical Study on Generalization, Robustness and Adaptation
- DELO: Deep Evidential LiDAR Odometry using Partial Optimal Transport
- Diffusion Based Augmentation for Captioning and Retrieval in Cultural Heritage
- Pairing interacting protein sequences using masked language modeling
- Language is All a Graph Needs
- A Time-aware tensor decomposition for tracking evolving patterns
- OctoPack: Instruction Tuning Code Large Language Models
- An Outlook into the Future of Egocentric Vision
- Active Bird2Vec: Towards End-to-End Bird Sound Monitoring with Transformers
- Position: Key Claims in LLM Research Have a Long Tail of Footnotes
- On the Importance of Spatial Relations for Few-shot Action Recognition
- Neural radiance fields in the industrial and robotics domain: applications, research opportunities and use cases
- iSTFTNet2: Faster and More Lightweight iSTFT-Based Neural Vocoder Using 1D-2D CNN
- SCSC: Spatial Cross-scale Convolution Module to Strengthen both CNNs and Transformers
- Large Language Models for Information Retrieval: A Survey
- Checklist to Define the Identification of TP, FP, and FN Object Detections in Automated Driving
- FocusFlow: Boosting Key-Points Optical Flow Estimation for Autonomous Driving
- Temporal Sentence Grounding in Streaming Videos
- Masked Motion Predictors are Strong 3D Action Representation Learners
- Aesthetics of Sanskrit Poetry from the Perspective of Computational Linguistics: A Case Study Analysis on Siksastaka
- ICPC: Instance-Conditioned Prompting with Contrastive Learning for Semantic Segmentation
- #InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models
- Teeth And Root Canals Segmentation Using ZXYFormer With Uncertainty Guidance And Weight Transfer
- A Local Iterative Approach for the Extraction of 2D Manifolds from Strongly Curved and Folded Thin-Layer Structures
- Distinguishing Risk Preferences using Repeated Gambles
- Diagnosis of Scalp Disorders using Machine Learning and Deep Learning Approach -- A Review
- Fourier neural operator for learning solutions to macroscopic traffic flow models: Application to the forward and inverse problems
- Survey on video anomaly detection in dynamic scenes with moving cameras
- UIPC-MF: User-Item Prototype Connection Matrix Factorization for Explainable Collaborative Filtering
- No Regularization is Needed: An Efficient and Effective Model for Incomplete Label Distribution Learning
- The minimal computational substrate of fluid intelligence
- An Inherent Trade-Off in Noisy Neural Communication with Rank-Order Coding
- S3IM: Stochastic Structural SIMilarity and Its Unreasonable Effectiveness for Neural Fields
- AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive Learning
- PGT-Net: Progressive Guided Multi-task Neural Network for Small-area Wet Fingerprint Denoising and Recognition
- Contrastive Bi-Projector for Unsupervised Domain Adaption
- HHTrack: Hyperspectral Object Tracking Using Hybrid Attention
- Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads
- Greedy online change point detection
- ACTIVE: Towards Highly Transferable 3D Physical Camouflage for Universal and Robust Vehicle Evasion
- Deepbet: Fast brain extraction of T1-weighted MRI using Convolutional Neural Networks
- Mutual Information-driven Triple Interaction Network for Efficient Image Dehazing
- Deep convolutional neural networks for cyclic sensor data
- PatchContrast: Self-Supervised Pre-training for 3D Object Detection
- pNNCLR: Stochastic Pseudo Neighborhoods for Contrastive Learning based Unsupervised Representation Learning Problems
- Can Knowledge Graphs Simplify Text?
- A One Stop 3D Target Reconstruction and multilevel Segmentation Method
- Routing Recovery for UAV Networks with Deliberate Attacks: A Reinforcement Learning based Approach
- EcomGPT: Instruction-tuning Large Language Models with Chain-of-Task Tasks for E-commerce
- AutoAssign+: Automatic Shared Embedding Assignment in Streaming Recommendation
- How inter-rater variability relates to aleatoric and epistemic uncertainty: a case study with deep learning-based paraspinal muscle segmentation
- Color-NeuS: Reconstructing Neural Implicit Surfaces with Color
- Graph Structural Residuals: A Learning Approach to Diagnosis
- Search to Fine-tune Pre-trained Graph Neural Networks for Graph-level Tasks
- Data-Driven Allocation of Preventive Care With Application to Diabetes Mellitus Type II
- CEmb-SAM: Segment Anything Model with Condition Embedding for Joint Learning from Heterogeneous Datasets
- Global Features are All You Need for Image Retrieval and Reranking
- Thresh: A Unified, Customizable and Deployable Platform for Fine-Grained Text Evaluation
- Channel-Wise Contrastive Learning for Learning with Noisy Labels
- MixBCT: Towards Self-Adapting Backward-Compatible Training
- Knowing Where to Focus: Event-aware Transformer for Video Grounding
- Semantic-aware Network for Aerial-to-Ground Image Synthesis
- One-shot lip-based biometric authentication: extending behavioral features with authentication phrase information
- Approximating Human-Like Few-shot Learning with GPT-based Compression
- Insurance pricing on price comparison websites via reinforcement learning
- Radiomics-Informed Deep Learning for Classification of Atrial Fibrillation Sub-Types from Left-Atrium CT Volumes
- FusionPlanner: A Multi-task Motion Planner for Mining Trucks via Multi-sensor Fusion
- Predicting Listing Prices In Dynamic Short Term Rental Markets Using Machine Learning Models
- OpenGCD: Assisting Open World Recognition with Generalized Category Discovery
- CBA: Improving Online Continual Learning via Continual Bias Adaptor
- FedEdge AI-TC: A Semi-supervised Traffic Classification Method based on Trusted Federated Deep Learning for Mobile Edge Computing
- Probabilistic contingent planning based on HTN for high-quality plans
- ChatGPT in Drug Discovery: A Case Study on Anti-Cocaine Addiction Drug Development with Chatbots
- CausalLM is not optimal for in-context learning
- Hierarchy Flow For High-Fidelity Image-to-Image Translation
- Generative Interpretation
- The Michigan Robotics Undergraduate Curriculum: Defining the Discipline of Robotics for Equity and Excellence
- Exploring Lightweight Hierarchical Vision Transformers for Efficient Visual Tracking
- Orthogonal Temporal Interpolation for Zero-Shot Video Recognition
- Federated Classification in Hyperbolic Spaces via Secure Aggregation of Convex Hulls
- Robustness Stress Testing in Medical Image Classification
- Robustified ANNs Reveal Wormholes Between Human Category Percepts
- Bridging Offline-Online Evaluation with a Time-dependent and Popularity Bias-free Offline Metric for Recommenders
- Multi-Receiver Task-Oriented Communications via Multi-Task Deep Learning
- Quantifying Outlierness of Funds from their Categories using Supervised Similarity
- Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization
- AutoSeqRec: Autoencoder for Efficient Sequential Recommendation
- SpeechX: Neural Codec Language Model as a Versatile Speech Transformer
- Shape-Graph Matching Network (SGM-net): Registration for Statistical Shape Analysis
- Camera Based mmWave Beam Prediction: Towards Multi-Candidate Real-World Scenarios