Papers
Fri 2 Dec 2022
167 papers
- Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot CurriculaEnd-to-end autonomous driving → Imitation-learning end-to-end planners
- Legal Prompting: Teaching a Language Model to Think Like a LawyerLLM reasoning → Prompting and chain-of-thought reasoning
- DiffRF: Rendering-Guided 3D Radiance Field DiffusionDiffusion models → 3D, point cloud and scene generation
- Improving Simultaneous Machine Translation with Monolingual DataKnowledge distillation → Knowledge distillation for LLMs
- Flow to Control: Offline Reinforcement Learning with Lossless Primitive DiscoveryOffline RL and imitation learning from data → Offline RL algorithms
- Membership Inference Attacks Against Semantic Segmentation ModelsLLM safety and security → Membership inference attacks
- Injecting Spatial Information for Monaural Speech Enhancement via Knowledge DistillationKnowledge distillation → Speech and audio distillation
- Cloud-Device Collaborative Adaptation to Continual Changing Environments in the Real-worldKnowledge distillation → General knowledge distillation methods
- UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge GraphLLM reasoning → Knowledge- and tool-augmented reasoning
- Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching Perspective
- NETpred: Network-based modeling and prediction of multiple connected market indices
- Pseudo-Riemannian Embedding Models for Multi-Relational Graph Representations
- COmic: Convolutional Kernel Networks for Interpretable End-to-End Learning on (Multi-)Omics Data
- Matching DNN Compression and Cooperative Training with Resources and Data Availability
- Multiscale Graph Neural Networks for Protein Residue Contact Map Prediction
- Counting Like Human: Anthropoid Crowd Counting on Modeling the Similarity of Objects
- A Deep Learning Architecture for Passive Microwave Precipitation Retrievals using CloudSat and GPM Data
- Event knowledge in large language models: the gap between the impossible and the unlikely
- Modeling Wind Turbine Performance and Wake Interactions with Machine Learning
- NarraSum: A Large-Scale Dataset for Abstractive Narrative Summarization
- Prediction of Scene Plausibility
- Topic Modeling on Clinical Social Work Notes for Exploring Social Determinants of Health Factors
- Learning Disentangled Label Representations for Multi-label Classification
- Discovering Class-Specific GAN Controls for Semantic Image Synthesis
- Twitter Data Analysis: Izmir Earthquake Case
- CLIP: Train Faster with Less Data
- Crowd Density Estimation using Imperfect Labels
- PGFed: Personalize Each Client's Global Objective for Federated Learning
- Compound Tokens: Channel Fusion for Vision-Language Representation Learning
- Downscaling Extreme Rainfall Using Physical-Statistical Generative Adversarial Learning
- SMARTQUERY: An Active Learning Framework for Graph Neural Networks through Hybrid Uncertainty Reduction
- Identifying Heterogeneous Treatment Effects in Multiple Outcomes using Joint Confidence Intervals
- Unauthorized Drone Detection: Experiments and Prototypes
- Generalizable Human-Robot Collaborative Assembly Using Imitation Learning and Force Control
- Avoiding spurious correlations via logit correction
- MeshDQN: A Deep Reinforcement Learning Framework for Improving Meshes in Computational Fluid Dynamics
- Learning a Pedestrian Social Behavior Dictionary
- PROB: Probabilistic Objectness for Open World Object Detection
- Operator inference with roll outs for learning reduced models from scarce and low-quality data
- Measuring Competency of Machine Learning Systems and Enforcing Reliability
- Meta-Shop: Improving Item Advertisement For Small Businesses
- ClipFace: Text-guided Editing of Textured 3D Morphable Models
- Thread With Caution: Proactively Helping Users Assess and Deescalate Tension in Their Online Discussions
- Continual Learning for On-Device Speech Recognition using Disentangled Conformers
- LatentSwap3D: Semantic Edits on 3D Image GANs
- ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning
- D2DF2WOD: Learning Object Proposals for Weakly-Supervised Object Detection via Progressive Domain Adaptation
- Adaptive Robust Model Predictive Control via Uncertainty Cancellation
- Fast Non-Rigid Radiance Fields from Monocularized Data
- An Information-Theoretic Analysis of Compute-Optimal Neural Scaling Laws
- Designing Ecosystems of Intelligence from First Principles
- Video-based Pose-Estimation Data as Source for Transfer Learning in Human Activity Recognition
- A Bayesian Framework for Digital Twin-Based Control, Monitoring, and Data Collection in Wireless Systems
- Improving Iterative Text Revision by Learning Where to Edit from Other Revision Tasks
- Nonparametric Masked Language Modeling
- Predict-and-Critic: Accelerated End-to-End Predictive Control for Cloud Computing through Reinforcement Learning
- Guaranteed Conformance of Neurosymbolic Models to Natural Constraints
- CT-DQN: Control-Tutored Deep Reinforcement Learning
- Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking
- Surface Normal Clustering for Implicit Representation of Manhattan Scenes
- Device Interoperability for Learned Image Compression with Weights and Activations Quantization
- MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation
- On Solution Functions of Optimization: Universal Approximation and Covering Number Bounds
- Hybrid adiabatic quantum computing for tomographic image reconstruction -- opportunities and limitations
- Gaussian Process regression over discrete probability measures: on the non-stationarity relation between Euclidean and Wasserstein Squared Exponential Kernels
- Subword-Delimited Downsampling for Better Character-Level Translation
- Selecting Mechanical Parameters of a Monopode Jumping System with Reinforcement Learning
- DeepFT: Fault-Tolerant Edge Computing using a Self-Supervised Deep Surrogate Model
- SARAS-Net: Scale and Relation Aware Siamese Network for Change Detection
- Initial Results for Pairwise Causal Discovery Using Quantitative Information Flow
- Generative Reasoning Integrated Label Noise Robust Deep Image Representation Learning
- SolarDK: A high-resolution urban solar panel image classification and localization dataset
- Covariance Estimators for the ROOT-SGD Algorithm in Online Learning
- CC-3DT: Panoramic 3D Object Tracking via Cross-Camera Fusion
- Investigating certain choices of CNN configurations for brain lesion segmentation
- Safe machine learning model release from Trusted Research Environments: The SACRO-ML package
- Loss shaping enhances exact gradient learning with Eventprop in spiking neural networks
- BEV-SAN: Accurate BEV 3D Object Detection via Slice Attention Networks
- On the Change of Decision Boundaries and Loss in Learning with Concept Drift
- Evaluation of Explanation Methods of AI -- CNNs in Image Classification Tasks with Reference-based and No-reference Metrics
- Olive Branch Learning: A Topology-Aware Federated Learning Framework for Space-Air-Ground Integrated Network
- FECAM: Frequency Enhanced Channel Attention Mechanism for Time Series Forecasting
- Joint Open Knowledge Base Canonicalization and Linking
- Gibbs-Helmholtz Graph Neural Network: capturing the temperature dependency of activity coefficients at infinite dilution
- FedALA: Adaptive Local Aggregation for Personalized Federated Learning
- Utilizing Prior Solutions for Reward Shaping and Composition in Entropy-Regularized Reinforcement Learning
- DWRSeg: Rethinking Efficient Acquisition of Multi-scale Contextual Information for Real-time Semantic Segmentation
- Off-the-grid prediction and testing for linear combination of translated features
- Towards Cross Domain Generalization of Hamiltonian Representation via Meta Learning
- Deep Active Learning for Multi-Label Classification of Remote Sensing Images
- High-Res Facial Appearance Capture from Polarized Smartphone Images
- Clustering individuals based on multivariate EMA time-series data
- SumREN: Summarizing Reported Speech about Events in News
- Towards Diverse, Relevant and Coherent Open-Domain Dialogue Generation via Hybrid Latent Variables
- MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series
- Tackling Low-Resourced Sign Language Translation: UPC at WMT-SLT 22
- Robustness in Fatigue Strength Estimation
- RIPPLE: Concept-Based Interpretation for Raw Time Series Models in Education
- Activating the Discriminability of Novel Classes for Few-shot Segmentation
- Improving Pareto Front Learning via Multi-Sample Hypernetworks
All 167
- A Multi-Stream Fusion Network for Image Splicing Localization
- Zero-Shot Rumor Detection with Propagation Structure via Prompt Learning
- Generative Data Augmentation for Non-IID Problem in Decentralized Clinical Machine Learning
- Multi-scale Transformer Network with Edge-aware Pre-training for Cross-Modality MR Image Synthesis
- 3D-TOGO: Towards Text-Guided Cross-Category 3D Object Generation
- Assessing Anonymized System Logs Usefulness for Behavioral Analysis in RNN Models
- RGB-D-based Stair Detection using Deep Learning for Autonomous Stair Climbing
- Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment
- Semantic Role Labeling Meets Definition Modeling: Using Natural Language to Describe Predicate-Argument Structures
- Cross-Modal Mutual Learning for Cued Speech Recognition
- Are Straight-Through gradients and Soft-Thresholding all you need for Sparse Training?
- Fake detection in imbalance dataset by Semi-supervised learning with GAN
- Fast Algorithm for Constrained Linear Inverse Problems
- Exploring Faithful Rationale for Multi-hop Fact Verification via Salience-Aware Graph Learning
- Global Learnable Attention for Single Image Super-Resolution
- Transformer-Based Learned Optimization
- Model and Data Agreement for Learning with Noisy Labels
- VeriX: Towards Verified Explainability of Deep Neural Networks
- On the Energy and Communication Efficiency Tradeoffs in Federated and Multi-Task Learning
- Empirical Asset Pricing via Ensemble Gaussian Process Regression
- Improved Representation Learning Through Tensorized Autoencoders
- Quantum median filter for Total Variation image denoising
- Role of Audio in Audio-Visual Video Summarization
- SoftCorrect: Error Correction with Soft Detection for Automatic Speech Recognition
- Sonus Texere! Automated Dense Soundtrack Construction for Books using Movie Adaptations
- Systematic Analysis for Pretrained Language Model Priming for Parameter-Efficient Fine-tuning
- Progress and Challenges for the Application of Machine Learning for Neglected Tropical Diseases
- Spectral Feature Augmentation for Graph Contrastive Learning and Beyond
- STL-Based Synthesis of Feedback Controllers Using Reinforcement Learning
- Programming Is Hard -- Or at Least It Used to Be: Educational Opportunities And Challenges of AI Code Generation
- Accelerating Inverse Learning via Intelligent Localization with Exploratory Sampling
- Improving Training and Inference of Face Recognition Models via Random Temperature Scaling
- Compound Batch Normalization for Long-tailed Image Classification
- Self-supervised On-device Federated Learning from Unlabeled Streams
- AGO: Boosting Mobile AI Inference Performance by Removing Constraints on Graph Optimization
- Planogram Compliance Control via Object Detection, Sequence Alignment, and Focused Iterative Search
- Credit Assignment for Trained Neural Networks Based on Koopman Operator Theory
- Clustering through Feature Space Sequence Discovery and Analysis
- Knowledge Graph Quality Evaluation under Incomplete Information
- Stable Learning via Sparse Variable Independence
- Feature Aggregation and Propagation Network for Camouflaged Object Detection
- Sparse SPN: Depth Completion from Sparse Keypoints
- Masked Contrastive Pre-Training for Efficient Video-Text Retrieval
- QC-StyleGAN -- Quality Controllable Image Generation and Manipulation
- PASTA: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalization
- Relation-Aware Language-Graph Transformer for Question Answering
- Faster Adaptive Federated Learning
- A Domain-Knowledge-Inspired Music Embedding Space and a Novel Attention Mechanism for Symbolic Music Modeling
- Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wildfires
- UIU-Net: U-Net in U-Net for Infrared Small Object Detection
- A Hybrid Deep Learning Anomaly Detection Framework for Intrusion Detection
- AL-iGAN: An Active Learning Framework for Tunnel Geological Reconstruction Based on TBM Operational Data
- Few-Shot Nested Named Entity Recognition
- On the Limit of Explaining Black-box Temporal Graph Neural Networks
- SimpleMind adds thinking to deep neural networks
- A Geometric-Relational Deep Learning Framework for BIM Object Classification
- StructVPR: Distill Structural Knowledge with Weighting Samples for Visual Place Recognition
- Dunhuang murals contour generation network based on convolution and self-attention fusion
- ObjectStitch: Generative Object Compositing
- Single-shot ToF sensing with sub-mm precision using conventional CMOS sensors
- Fair Generative Models via Transfer Learning
- Navigating to Objects in the Real World
- AGRO: Adversarial Discovery of Error-prone groups for Robust Optimization
- Geometry-Aware Network for Domain Adaptive Semantic Segmentation
- Learning Temporal Logic Properties: an Overview of Two Recent Methods
- QFF: Quantized Fourier Features for Neural Field Representations
- Private Multiparty Perception for Navigation