Papers
Thu 17 Feb 2022
176 papers
- Efficient Learning of Safe Driving Policy via Human-AI Copilot OptimizationEnd-to-end autonomous driving → Reinforcement learning for driving
- ST-MoE: Designing Stable and Transferable Sparse Expert ModelsMixture-of-experts → MoE large language models
- Attributable-Watermarking of Speech Generative ModelsLLM safety and security → Watermarking generated content and models
- cosFormer: Rethinking Softmax in AttentionLLM reasoning → Test-time compute and efficient thinking
- An Equivalence Between Data Poisoning and Byzantine Gradient AttacksLLM safety and security → Federated unlearning and poisoning
- CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-based Autonomous Urban DrivingEnd-to-end autonomous driving → Reinforcement learning for driving
- Retrieval-Augmented Reinforcement LearningRetrieval-augmented generation → Agentic RAG, agents and memory
- GEMA: An open-source Python library for self-organizing-maps
- Collaborative Self Organizing Map with DeepNNs for Fake Task Prevention in Mobile Crowdsensing
- FExGAN-Meta: Facial Expression Generation with Meta Humans
- 'Beach' to 'Bitch': Inadvertent Unsafe Transcription of Kids' Content on YouTube
- When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing
- Single Image Super-Resolution Methods: A Survey
- Pricing options on flow forwards by neural networks in Hilbert space
- Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences
- Occupation similarity through bipartite graphs
- Gradient Based Activations for Accurate Bias-Free Learning
- Recognizing Concepts and Recognizing Musical Themes. A Quantum Semantic Analysis
- Knowledge-informed Molecular Learning: A Survey on Paradigm Transfer
- Variational Neural Temporal Point Process
- DeepSketch: A New Machine Learning-Based Reference Search Technique for Post-Deduplication Delta Compression
- MineRL Diamond 2021 Competition: Overview, Results, and Lessons Learned
- Benchmarking missing-values approaches for predictive models on health databases
- Deep Iterative Phase Retrieval for Ptychography
- Effective Training Strategies for Deep-learning-based Precipitation Nowcasting and Estimation
- Exploring Human Mobility for Multi-Pattern Passenger Prediction: A Graph Learning Framework
- UAV Base Station Trajectory Optimization Based on Reinforcement Learning in Post-disaster Search and Rescue Operations
- VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning
- Counterfactual Analysis of the Impact of the IMF Program on Child Poverty in the Global-South Region using Causal-Graphical Normalizing Flows
- A Summary of the ComParE COVID-19 Challenges
- Enhanced DeepONet for Modeling Partial Differential Operators Considering Multiple Input Functions
- Improving Intrinsic Exploration with Language Abstractions
- When, Why, and Which Pretrained GANs Are Useful?
- Prior image-based medical image reconstruction using a style-based generative adversarial network
- Handling Imbalanced Datasets Through Optimum-Path Forest
- A Distributed Algorithm for Measure-valued Optimization with Additive Objective
- On Guiding Visual Attention with Language Specification
- FLAME: Federated Learning Across Multi-device Environments
- Discovering Fine-Grained Semantics in Knowledge Graph Relations
- Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications
- Machine learning models and facial regions videos for estimating heart rate: a review on Patents, Datasets and Literature
- Combining Varied Learners for Binary Classification using Stacked Generalization
- Sampling Approximately Low-Rank Ising Models: MCMC meets Variational Methods
- SGPT: GPT Sentence Embeddings for Semantic Search
- The Effects of Interactive AI Design on User Behavior: An Eye-tracking Study of Fact-checking COVID-19 Claims
- Word Embeddings for Automatic Equalization in Audio Mixing
- Continuous-Time vs. Discrete-Time Vision-based SLAM: A Comparative Study
- Developing Imperceptible Adversarial Patches to Camouflage Military Assets From Computer Vision Enabled Technologies
- Deep Transfer Learning on Satellite Imagery Improves Air Quality Estimates in Developing Nations
- BADDr: Bayes-Adaptive Deep Dropout RL for POMDPs
- Curriculum optimization for low-resource speech recognition
- Improving English to Sinhala Neural Machine Translation using Part-of-Speech Tag
- An alternative approach to train neural networks using monotone variational inequality
- Graph Data Augmentation for Graph Machine Learning: A Survey
- Fast online inference for nonlinear contextual bandit based on Generative Adversarial Network
- RemixIT: Continual self-training of speech enhancement models via bootstrapped remixing
- Iterated Belief Change, Computationally
- Scalable approach to many-body localization via quantum data
- Adiabatic Quantum Computing for Multi Object Tracking
- Data-SUITE: Data-centric identification of in-distribution incongruous examples
- General Cyclical Training of Neural Networks
- What Functions Can Graph Neural Networks Generate?
- Universality of empirical risk minimization
- LAMP: Extracting Text from Gradients with Language Model Priors
- Multi-stage Ensemble Model for Cross-market Recommendation
- Human-Algorithm Collaboration: Achieving Complementarity and Avoiding Unfairness
- Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning
- GRAPHSHAP: Explaining Identity-Aware Graph Classifiers Through the Language of Motifs
- Should I send this notification? Optimizing push notifications decision making by modeling the future
- Grammar-Based Grounded Lexicon Learning
- Hybridizing Physical and Data-driven Prediction Methods for Physicochemical Properties
- Seeing Like a Toolkit: How Toolkits Envision the Work of AI Ethics
- Hamilton-Jacobi equations on graphs with applications to semi-supervised learning and data depth
- Global Convergence of Sub-gradient Method for Robust Matrix Recovery: Small Initialization, Noisy Measurements, and Over-parameterization
- Refined Convergence Rates for Maximum Likelihood Estimation under Finite Mixture Models
- A Survey of Knowledge-Intensive NLP with Pre-Trained Language Models
- Realistic Blur Synthesis for Learning Image Deblurring
- A Wavelet-based Dual-stream Network for Underwater Image Enhancement
- Ensemble Conformalized Quantile Regression for Probabilistic Time Series Forecasting
- OmniSyn: Synthesizing 360 Videos with Wide-baseline Panoramas
- Improving Rating and Relevance with Point-of-Interest Recommender System
- Listing Maximal k-Plexes in Large Real-World Graphs
- Colonoscopy polyp detection with massive endoscopic images
- Nonparametric extensions of randomized response for private confidence sets
- Level set based particle filter driven by optical flow: an application to track the salt boundary from X-ray CT time-series
- Mining On Alzheimer's Diseases Related Knowledge Graph to Identity Potential AD-related Semantic Triples for Drug Repurposing
- Learning stochastic dynamics and predicting emergent behavior using transformers
- Detecting and Learning the Unknown in Semantic Segmentation
- A study of deep perceptual metrics for image quality assessment
- Term Rewriting Based On Set Automaton Matching
- A General Deep Learning framework for Neuron Instance Segmentation based on Efficient UNet and Morphological Post-processing
- Synthetic data for unsupervised polyp segmentation
- Where Is My Training Bottleneck? Hidden Trade-Offs in Deep Learning Preprocessing Pipelines
- Winograd Convolution: A Perspective from Fault Tolerance
- Measuring Trustworthiness or Automating Physiognomy? A Comment on Safra, Chevallier, Gr`ezes, and Baumard (2020)
- Domain Randomization for Object Counting
- The merged-staircase property: a necessary and nearly sufficient condition for SGD learning of sparse functions on two-layer neural networks
- Semantically Proportional Patchmix for Few-Shot Learning
- Revisiting Over-smoothing in BERT from the Perspective of Graph
- Fourier PlenOctrees for Dynamic Radiance Field Rendering in Real-time
All 176
- On the evaluation of (meta-)solver approaches
- Two-stage architectural fine-tuning with neural architecture search using early-stopping in image classification
- Cross-Silo Heterogeneous Model Federated Multitask Learning
- Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations
- Single UHD Image Dehazing via Interpretable Pyramid Network
- Gradients without Backpropagation
- Point cloud completion via structured feature maps using a feedback network
- Anatomically Parameterized Statistical Shape Model: Explaining Morphometry through Statistical Learning
- Robust SVM Optimization in Banach spaces
- Efficient and Reliable Probabilistic Interactive Learning with Structured Outputs
- Query Answering with Transitive and Linear-Ordered Data
- 3D-Aware Indoor Scene Synthesis with Depth Priors
- EBHI:A New Enteroscope Biopsy Histopathological H&E Image Dataset for Image Classification Evaluation
- Delay-adaptive step-sizes for asynchronous learning
- Oracle-Efficient Online Learning for Beyond Worst-Case Adversaries
- An overview of deep learning in medical imaging
- Information Theory with Kernel Methods
- When, where, and how to add new neurons to ANNs
- Domain Adaptation for Underwater Image Enhancement via Content and Style Separation
- Are There Exceptions to Goodhart's Law? On the Moral Justification of Fairness-Aware Machine Learning
- AISHELL-NER: Named Entity Recognition from Chinese Speech
- Mitigating Closed-model Adversarial Examples with Bayesian Neural Modeling for Enhanced End-to-End Speech Recognition
- Point Cloud Generation with Continuous Conditioning
- A Collection and Categorization of Open-Source Wind and Wind Power Datasets
- Contrastive Meta Learning with Behavior Multiplicity for Recommendation
- Recovering Unbalanced Communities in the Stochastic Block Model With Application to Clustering with a Faulty Oracle
- End-to-end Music Remastering System Using Self-supervised and Adversarial Training
- DeepHybrid: Deep Learning on Automotive Radar Spectra and Reflections for Object Classification
- TAFNet: A Three-Stream Adaptive Fusion Network for RGB-T Crowd Counting
- SAITS: Self-Attention-based Imputation for Time Series
- Survey on Self-supervised Representation Learning Using Image Transformations
- Visual Ground Truth Construction as Faceted Classification
- Multi-Scale Hybrid Vision Transformer for Learning Gastric Histology: AI-Based Decision Support System for Gastric Cancer Treatment
- A Study of Designing Compact Audio-Visual Wake Word Spotting System Based on Iterative Fine-Tuning in Neural Network Pruning
- CSCNet: Contextual Semantic Consistency Network for Trajectory Prediction in Crowded Spaces
- CLS: Cross Labeling Supervision for Semi-Supervised Learning
- Mirror-Yolo: A Novel Attention Focus, Instance Segmentation and Mirror Detection Model
- Learning continuous models for continuous physics
- Feels Bad Man: Dissecting Automated Hateful Meme Detection Through the Lens of Facebook's Challenge
- Dynamic Object Comprehension: A Framework For Evaluating Artificial Visual Perception
- Multi-Objective Model Selection for Time Series Forecasting
- Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning
- On the Evaluation Metrics for Paraphrase Generation
- Full-Span Log-Linear Model and Fast Learning Algorithm
- TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and a Grasping Baseline
- End-to-End Training for Back-Translation with Categorical Reparameterization Trick
- The Gene of Scientific Success
- MLP-ASR: Sequence-length agnostic all-MLP architectures for speech recognition
- Transformer for Graphs: An Overview from Architecture Perspective
- TraSeTR: Track-to-Segment Transformer with Contrastive Query for Instance-level Instrument Segmentation in Robotic Surgery
- PCB Component Detection using Computer Vision for Hardware Assurance
- Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization
- V2X-Sim: Multi-Agent Collaborative Perception Dataset and Benchmark for Autonomous Driving
- A Survey on Deep Reinforcement Learning-based Approaches for Adaptation and Generalization
- Modeling High-Dimensional Data with Unknown Cut Points: A Fusion Penalized Logistic Threshold Regression
- Visual attention analysis of pathologists examining whole slide images of Prostate cancer
- PENCIL: Deep Learning with Noisy Labels
- A Survey of Explainable Reinforcement Learning
- ADD 2022: the First Audio Deep Synthesis Detection Challenge
- AKB-48: A Real-World Articulated Object Knowledge Base
- Synthetic Control As Online Linear Regression
- Chord-Conditioned Melody Harmonization with Controllable Harmonicity
- Time-Correlated Sparsification for Efficient Over-the-Air Model Aggregation in Wireless Federated Learning
- Neural Marionette: Unsupervised Learning of Motion Skeleton and Latent Dynamics from Volumetric Video
- FPIC: A Novel Semantic Dataset for Optical PCB Assurance
- Entropic Associative Memory for Manuscript Symbols
- Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs
- AutoScore-Ordinal: An interpretable machine learning framework for generating scoring models for ordinal outcomes
- Federated Stochastic Gradient Descent Begets Self-Induced Momentum
- Shift-Memory Network for Temporal Scene Segmentation
- Augment with Care: Contrastive Learning for Combinatorial Problems
- SWIM: Selective Write-Verify for Computing-in-Memory Neural Accelerators
- Robust Reinforcement Learning via Genetic Curriculum
- Graph Masked Autoencoders with Transformers
- Generalizable Information Theoretic Causal Representation
- Limitations of Neural Collapse for Understanding Generalization in Deep Learning