Papers
Mon 5 Dec 2022
186 papers
- Benchmarking Offline Reinforcement Learning Algorithms for E-Commerce Order Fraud EvaluationOffline RL and imitation learning from data → Decision transformers and sequence modeling
- Rethinking Backdoor Data Poisoning Attacks in the Context of Semi-Supervised LearningLLM safety and security → Backdoor and data poisoning attacks
- PhysDiff: Physics-Guided Human Motion Diffusion ModelDiffusion models → Video generation
- Single image calibration using knowledge distillation approachesKnowledge distillation → General knowledge distillation methods
- Bi-Level Optimization Augmented with Conditional Variational Autoencoder for Autonomous Driving in Dense TrafficEnd-to-end autonomous driving → Reinforcement learning for driving
- FedUKD: Federated UNet Model with Knowledge Distillation for Land Use Classification from Satellite and Street ViewsKnowledge distillation → Detection and dense prediction distillation
- Accelerating Interactive Human-like Manipulation Learning with GPU-based Simulation and High-quality DemonstrationsOffline RL and imitation learning from data → Robot manipulation imitation learning
- TD3 with Reverse KL Regularizer for Offline Reinforcement Learning from Mixed DatasetsOffline RL and imitation learning from data → Offline RL algorithms
- Fine-grained Image Editing by Pixel-wise Guidance Using Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
- HierarchyFL: Heterogeneous Federated Learning via Hierarchical Self-DistillationKnowledge distillation → Federated, robust and private distillation
- Mask Matching Transformer for Few-Shot Segmentation
- An Interpretable Model of Climate Change Using Correlative Learning
- Encrypted machine learning of molecular quantum properties
- Clustering with Neural Network and Index
- A Hierarchical Deep Reinforcement Learning Framework for 6-DOF UCAV Air-to-Air Combat
- A Transformer-Based User Satisfaction Prediction for Proactive Interaction Mechanism in DuerOS
- Transformer-Based Named Entity Recognition for French Using Adversarial Adaptation to Similar Domain Corpora
- MobileTL: On-device Transfer Learning with Inverted Residual Blocks
- Where the Bee Sucks -- A Dynamic Bayesian Network Approach to Decision Support for Pollinator Abundance Strategies
- Learning Representations that Enable Generalization in Assistive Tasks
- A Comprehensively Improved Hybrid Algorithm for Learning Bayesian Networks: Multiple Compound Memory Erasing
- A comparative study of emotion recognition methods using facial expressions
- Which products activate a product? An explainable machine learning approach
- Multiple Perturbation Attack: Attack Pixelwise Under Different ℓp-norms For Better Adversarial Performance
- Multi-Layer Personalized Federated Learning for Mitigating Biases in Student Predictive Analytics
- Muscles in Action
- Transformers for End-to-End InfoSec Tasks: A Feasibility Study
- Efficient Malware Analysis Using Metric Embeddings
- Continual learning on deployment pipelines for Machine Learning Systems
- Explaining Link Predictions in Knowledge Graph Embedding Models with Influential Examples
- Thales: Formulating and Estimating Architectural Vulnerability Factors for DNN Accelerators
- Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases
- AIDA: Analytic Isolation and Distance-based Anomaly Detection Algorithm
- Stars: Tera-Scale Graph Building for Clustering and Graph Learning
- QFT: Post-training quantization via fast joint finetuning of all degrees of freedom
- POQue: Asking Participant-specific Outcome Questions for a Deeper Understanding of Complex Events
- Unifying Vision, Text, and Layout for Universal Document Processing
- Towards a Taxonomy for the Use of Synthetic Data in Advanced Analytics
- Can Ensembling Pre-processing Algorithms Lead to Better Machine Learning Fairness?
- StyleGAN as a Utility-Preserving Face De-identification Method
- Audio Latent Space Cartography
- Learning to Optimize in Model Predictive Control
- Automatic Anomalies Detection in Hydraulic Devices
- Fine-tuning a Subtle Parsing Distinction Using a Probabilistic Decision Tree: the Case of Postnominal "that" in Noun Complement Clauses vs. Relative Clauses
- Learning Sampling Distributions for Model Predictive Control
- Identification of Unobservables in Observations
- Auxiliary Quantile Forecasting with Linear Networks
- A Mobility-Aware Deep Learning Model for Long-Term COVID-19 Pandemic Prediction and Policy Impact Analysis
- Domain-General Crowd Counting in Unseen Scenarios
- A Dataless FaceSwap Detection Approach Using Synthetic Images
- cs-net: structural approach to time-series forecasting for high-dimensional feature space data with limited observations
- Distributed Bayesian Learning of Dynamic States
- INCLUSIFY: A benchmark and a model for gender-inclusive German
- Cross-Domain Few-Shot Relation Extraction via Representation Learning and Domain Adaptation
- Enhancing Quantum Adversarial Robustness by Randomized Encodings
- MAP-Music2Vec: A Simple and Effective Baseline for Self-Supervised Music Audio Representation Learning
- FEMa-FS: Finite Element Machines for Feature Selection
- This changes to that : Combining causal and non-causal explanations to generate disease progression in capsule endoscopy
- SceneRF: Self-Supervised Monocular 3D Scene Reconstruction with Radiance Fields
- Images Speak in Images: A Generalist Painter for In-Context Visual Learning
- PEANUT: Predicting and Navigating to Unseen Targets
- Canonical Fields: Self-Supervised Learning of Pose-Canonicalized Neural Fields
- TIDE: Time Derivative Diffusion for Deep Learning on Graphs
- Malaria Parasitic Detection using a New Deep Boosted and Ensemble Learning Framework
- Meta-Learning Fast Weight Language Models
- Certifying Fairness of Probabilistic Circuits
- One-shot Implicit Animatable Avatars with Model-based Priors
- Quantized Wasserstein Procrustes Alignment of Word Embedding Spaces
- Blessings and Curses of Covariate Shifts: Adversarial Learning Dynamics, Directional Convergence, and Equilibria
- Solving the Weather4cast Challenge via Visual Transformers for 3D Images
- Framework for 2D Ad placements in LinearTV
- Domino Denoise: An Accurate Blind Zero-Shot Denoiser using Domino Tilings
- In-context Examples Selection for Machine Translation
- Observational and Interventional Causal Learning for Regret-Minimizing Control
- Adaptive Sequential Surveillance with Network and Temporal Dependence
- Score-based denoising for atomic structure identification
- Decoding natural image stimuli from fMRI data with a surface-based convolutional network
- Inverting Cryptographic Hash Functions via Cube-and-Conquer
- Energy-based Generative Models for Target-specific Drug Discovery
- Location-Aware Self-Supervised Transformers for Semantic Segmentation
- Generalizable Person Re-Identification via Viewpoint Alignment and Fusion
- PowRL: A Reinforcement Learning Framework for Robust Management of Power Networks
- Cooperative control of environmental extremes by artificial intelligent agents
- An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization
- Addressing Distribution Shift at Test Time in Pre-trained Language Models
- DIAMOND: Taming Sample and Communication Complexities in Decentralized Bilevel Optimization
- D-TensoRF: Tensorial Radiance Fields for Dynamic Scenes
- On the Trade-off between Over-smoothing and Over-squashing in Deep Graph Neural Networks
- Indoor room Occupancy Counting based on LSTM and Environmental Sensor
- Fake News and Hate Speech: Language in Common
- Audio-Driven Co-Speech Gesture Video Generation
- Accu-Help: A Machine Learning based Smart Healthcare Framework for Accurate Detection of Obsessive Compulsive Disorder
- From Malware Samples to Fractal Images: A New Paradigm for Classification. (Version 2.0, Previous version paper name: Have you ever seen malware?)
- CBNet: A Plug-and-Play Network for Segmentation-Based Scene Text Detection
- Improved Convergence Guarantees for Shallow Neural Networks
- Robust and Accurate Cylinder Triangulation
- Lossy Compression for Robust Unsupervised Time-Series Anomaly Detection
- Real Time Incremental Image Mosaicking Without Use of Any Camera Parameter
- Block Selection Method for Using Feature Norm in Out-of-distribution Detection
- I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification
All 186
- Window Normalization: Enhancing Point Cloud Understanding by Unifying Inconsistent Point Densities
- DARF: Depth-Aware Generalizable Neural Radiance Field
- R2FD2: Fast and Robust Matching of Multimodal Remote Sensing Image via Repeatable Feature Detector and Rotation-invariant Feature Descriptor
- Entity Set Co-Expansion in StackOverflow
- Federated Neural Topic Models
- BiSTNet: Semantic Image Prior Guided Bidirectional Temporal Feature Fusion for Deep Exemplar-based Video Colorization
- Applications of human activity recognition in industrial processes -- Synergy of human and technology
- MapInWild: A Remote Sensing Dataset to Address the Question What Makes Nature Wild
- Bagging is an Optimal PAC Learner
- Multielement polynomial chaos Kriging-based metamodelling for Bayesian inference of non-smooth systems
- Semi-Supervised Representative Region Texture Extraction of Faccade
- Learning to See Through with Events
- Improving Few-Shot Performance of Language Models via Nearest Neighbor Calibration
- Legal Prompt Engineering for Multilingual Legal Judgement Prediction
- Rethinking Generative Methods for Image Restoration in Physics-based Vision: A Theoretical Analysis from the Perspective of Information
- Construction of Object Boundaries for the Autopilotof a Surface Robot from Satellite Imagesusing Computer Vision Methods
- On the effectiveness of partial variance reduction in federated learning with heterogeneous data
- L2SR: Learning to Sample and Reconstruct for Accelerated MRI via Reinforcement Learning
- 3D-LatentMapper: View Agnostic Single-View Reconstruction of 3D Shapes
- Anomaly Detection in Power Markets and Systems
- Perceive, Interact, Predict: Learning Dynamic and Static Clues for End-to-End Motion Prediction
- Physics-Informed Model-Based Reinforcement Learning
- Gradient-Based Geometry Learning for Fan-Beam CT Reconstruction
- Momentum Decoding: Open-ended Text Generation As Graph Exploration
- Automatic Generation of Factual News Headlines in Finnish
- Video Games as a Corpus: Sentiment Analysis using Fallout New Vegas Dialog
- 2D Human Pose Estimation with Explicit Anatomical Keypoints Structure Constraints
- WAIR-D: Wireless AI Research Dataset
- Unexpectedly Useful: Convergence Bounds And Real-World Distributed Learning
- Impact of Domain-Adapted Multilingual Neural Machine Translation in the Medical Domain
- SoftCTC -- Semi-Supervised Learning for Text Recognition using Soft Pseudo-Labels
- Minimum Class Confusion based Transfer for Land Cover Segmentation in Rural and Urban Regions
- FaceQAN: Face Image Quality Assessment Through Adversarial Noise Exploration
- CLIPVG: Text-Guided Image Manipulation Using Differentiable Vector Graphics
- Learning to Learn Better for Video Object Segmentation
- Human-in-the-Loop Hate Speech Classification in a Multilingual Context
- Matrix factorization with neural networks
- High-Dimensional Yield Estimation using Shrinkage Deep Features and Maximization of Integral Entropy Reduction
- A Machine with Short-Term, Episodic, and Semantic Memory Systems
- FBLNet: FeedBack Loop Network for Driver Attention Prediction
- Learning Physically Realizable Skills for Online Packing of General 3D Shapes
- Breaking the Spurious Causality of Conditional Generation via Fairness Intervention with Corrective Sampling
- On the Overlooked Structure of Stochastic Gradients
- Hierarchical Contrast for Unsupervised Skeleton-based Action Representation Learning
- YolOOD: Utilizing Object Detection Concepts for Multi-Label Out-of-Distribution Detection
- LE-UDA: Label-efficient unsupervised domain adaptation for medical image segmentation
- Differentiated Federated Reinforcement Learning Based Traffic Offloading on Space-Air-Ground Integrated Networks
- Minimum Latency Deep Online Video Stabilization
- Syntactic Multi-view Learning for Open Information Extraction
- E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance
- Resilience Evaluation of Entropy Regularized Logistic Networks with Probabilistic Cost
- Region-Conditioned Orthogonal 3D U-Net for Weather4Cast Competition
- DA-CIL: Towards Domain Adaptive Class-Incremental 3D Object Detection
- Graph Convolutional Neural Networks with Diverse Negative Samples via Decomposed Determinant Point Processes
- Day2Dark: Pseudo-Supervised Activity Recognition beyond Silent Daylight
- Distributed Stochastic Gradient Descent with Cost-Sensitive and Strategic Agents
- Algorithm and Hardware Co-Design of Energy-Efficient LSTM Networks for Video Recognition with Hierarchical Tucker Tensor Decomposition
- Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning
- Query Your Model with Definitions in FrameNet: An Effective Method for Frame Semantic Role Labeling
- Towards Generating Diverse Audio Captions via Adversarial Training
- Prototypical Residual Networks for Anomaly Detection and Localization
- The LG Fibration
- Double U-Net for Super-Resolution and Segmentation of Live Cell Images
- Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer
- Unidirectional Imaging using Deep Learning-Designed Materials
- Analysis of Utterance Embeddings and Clustering Methods Related to Intent Induction for Task-Oriented Dialogue
- SASFormer: Transformers for Sparsely Annotated Semantic Segmentation
- GNN-SL: Sequence Labeling Based on Nearest Examples via GNN
- Learning Imbalanced Data with Vision Transformers
- Med-Query: Steerable Parsing of 9-DoF Medical Anatomies with Query Embedding
- PointCaM: Cut-and-Mix for Open-Set Point Cloud Learning
- Multi Agent Path Finding using Evolutionary Game Theory
- Bayesian Learning with Information Gain Provably Bounds Risk for a Robust Adversarial Defense
- Adaptive ECCM for Mitigating Smart Jammers
- Wish I Can Feel What You Feel: A Neural Approach for Empathetic Response Generation
- An operational framework to automatically evaluate the quality of weather observations from third-party stations
- Fast and accurate factorized neural transducer for text adaption of end-to-end speech recognition models
- ObjectMatch: Robust Registration using Canonical Object Correspondences
- Exploring Stroke-Level Modifications for Scene Text Editing
- Distributed Pruning Towards Tiny Neural Networks in Federated Learning
- FedCC: Robust Federated Learning against Model Poisoning Attacks
- Dissimilar Nodes Improve Graph Active Learning
- QBERT: Generalist Model for Processing Questions
- Building Metadata Inference Using a Transducer Based Language Model
- Deep Learning Architectures for FSCV, a Comparison
- INGeo: Accelerating Instant Neural Scene Reconstruction with Noisy Geometry Priors