Papers
Fri 22 Oct 2021
159 papers
- How and When Adversarial Robustness Transfers in Knowledge Distillation?Knowledge distillation → Federated, robust and private distillation
- On the Necessity of Auditable Algorithmic Definitions for Machine UnlearningLLM safety and security → Machine unlearning
- Federated Unlearning via Class-Discriminative PruningLLM safety and security → Federated unlearning and poisoning
- A Versatile and Efficient Reinforcement Learning Framework for Autonomous DrivingEnd-to-end autonomous driving → Reinforcement learning for driving
- Pseudo Supervised Monocular Depth Estimation with Teacher-Student NetworkKnowledge distillation → Detection and dense prediction distillation
- GPU-Accelerated Forward-Backward algorithm with Application to Lattice-Free MMI
- SVM and ANN based Classification of EMG signals by using PCA and LDA
- Generative Networks for Precision Enthusiasts
- Bayesian Optimization and Deep Learning forsteering wheel angle prediction
- Drug Similarity and Link Prediction Using Graph Embeddings on Medical Knowledge Graphs
- Semantic Detection of Potential Wind-borne Debris in Construction Jobsites: Digital Twining for Hurricane Preparedness and Jobsite Safety
- Convergence Rates of Average-Reward Multi-agent Reinforcement Learning via Randomized Linear Programming
- Spoofing Detection on Hand Images Using Quality Assessment
- Tackling the Local Bias in Federated Graph Learning
- Circle Representation for Medical Object Detection
- Contrastively Disentangled Sequential Variational Autoencoder
- Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations
- Gaussian Process Sampling and Optimization with Approximate Upper and Lower Bounds
- CD&S Dataset: Handheld Imagery Dataset Acquired Under Field Conditions for Corn Disease Identification and Severity Estimation
- Off-policy Reinforcement Learning with Optimistic Exploration and Distribution Correction
- C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks
- Applications of Generative Adversarial Networks in Anomaly Detection: A Systematic Literature Review
- Fast and Accurate Graph Learning for Huge Data via Minipatch Ensembles
- The Causal Loss: Driving Correlation to Imply Causation
- Multiplication-Avoiding Variant of Power Iteration with Applications
- Causal Effect Identification with Context-specific Independence Relations of Control Variables
- DeepAg: Deep Learning Approach for Measuring the Effects of Outlier Events on Agricultural Production and Policy
- Two-Timescale End-to-End Learning for Channel Acquisition and Hybrid Precoding
- Towards Dynamic Consistency Checking in Goal-directed Predicate Answer Set Programming
- A Taxonomy for Inference in Causal Model Families
- Uncertainty Quantification For Low-Rank Matrix Completion With Heterogeneous and Sub-Exponential Noise
- Generative Adversarial Networks for Non-Raytraced Global Illumination on Older GPU Hardware
- Recursive Causal Structure Learning in the Presence of Latent Variables and Selection Bias
- Distance-wise Prototypical Graph Neural Network in Node Imbalance Classification
- A Simple Baseline for Low-Budget Active Learning
- Interaction and Conflict Management in AI-assisted Operational Control Loops in 6G
- A Prototype-Oriented Framework for Unsupervised Domain Adaptation
- Fairness Degrading Adversarial Attacks Against Clustering Algorithms
- Local-Global Associative Frame Assemble in Video Re-ID
- RDD-Eclat: Approaches to Parallelize Eclat Algorithm on Spark RDD Framework (Extended Version)
- ClimateBert: A Pretrained Language Model for Climate-Related Text
- When to Prune? A Policy towards Early Structural Pruning
- Uncertainty aware anomaly detection to predict errant beam pulses in the SNS accelerator
- Fairness in Missing Data Imputation
- Semi-Supervised Semantic Segmentation of Vessel Images using Leaking Perturbations
- PhotoWCT2: Compact Autoencoder for Photorealistic Style Transfer Resulting from Blockwise Training and Skip Connections of High-Frequency Residuals
- A Reinforcement Learning Approach to Parameter Selection for Distributed Optimal Power Flow
- Improving Robustness of Malware Classifiers using Adversarial Strings Generated from Perturbed Latent Representations
- ReLAX: Reinforcement Learning Agent eXplainer for Arbitrary Predictive Models
- Adversarial robustness for latent models: Revisiting the robust-standard accuracies tradeoff
- Learning Proposals for Practical Energy-Based Regression
- SOFT: Softmax-free Transformer with Linear Complexity
- Logical Activation Functions: Logit-space equivalents of Probabilistic Boolean Operators
- A Framework for Learning Assessment through Multimodal Analysis of Reading Behaviour and Language Comprehension
- Cleaning Dirty Books: Post-OCR Processing for Previously Scanned Texts
- Double Trouble: How to not explain a text classifier's decisions using counterfactuals synthesized by masked language models?
- Gapoera: Application Programming Interface for AI Environment of Indonesian Board Game
- MIGS: Meta Image Generation from Scene Graphs
- Challenges in Procedural Multimodal Machine Comprehension:A Novel Way To Benchmark
- C4Net: Contextual Compression and Complementary Combination Network for Salient Object Detection
- Conditionally Gaussian PAC-Bayes
- Simple Dialogue System with AUDITED
- Tight and Robust Private Mean Estimation with Few Users
- GeneDisco: A Benchmark for Experimental Design in Drug Discovery
- Patient level simulation and reinforcement learning to discover novel strategies for treating ovarian cancer
- CeyMo: See More on Roads -- A Novel Benchmark Dataset for Road Marking Detection
- Graph Filtration Kernels
- AIR-Nets: An Attention-Based Framework for Locally Conditioned Implicit Representations
- Auctions Between Regret-Minimizing Agents
- Using scientific machine learning for experimental bifurcation analysis of dynamic systems
- Recurrence along Depth: Deep Convolutional Neural Networks with Recurrent Layer Aggregation
- Lightweight Decoding Strategies for Increasing Specificity
- Clustering Market Regimes using the Wasserstein Distance
- Probabilistic Numerical Method of Lines for Time-Dependent Partial Differential Equations
- Multi-view Contrastive Graph Clustering
- Multi-attribute Pizza Generator: Cross-domain Attribute Control with Conditional StyleGAN
- CNN-based Omnidirectional Object Detection for HermesBot Autonomous Delivery Robot with Preliminary Frame Classification
- Predictive machine learning for prescriptive applications: a coupled training-validating approach
- Unraveling the Hidden Environmental Impacts of AI Solutions for Environment
- A Last Switch Dependent Analysis of Satiation and Seasonality in Bandits
- Testing network correlation efficiently via counting trees
- Probabilistic ODE Solutions in Millions of Dimensions
- IVS3D: An Open Source Framework for Intelligent Video Sampling and Preprocessing to Facilitate 3D Reconstruction
- PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels
- Model, sample, and epoch-wise descents: exact solution of gradient flow in the random feature model
- Probabilistic fine-tuning of pruning masks and PAC-Bayes self-bounded learning
- Deep Convolutional Autoencoders as Generic Feature Extractors in Seismological Applications
- HDRVideo-GAN: Deep Generative HDR Video Reconstruction
- Safe rules for the identification of zeros in the solutions of the SLOPE problem
- Reconstruction of Sentinel-2 Time Series Using Robust Gaussian Mixture Models -- Application to the Detection of Anomalous Crop Development in wheat and rapeseed crops
- SwiftLane: Towards Fast and Efficient Lane Detection
- Domain Adaptation and Active Learning for Fine-Grained Recognition in the Field of Biodiversity
- Federated Learning over Wireless IoT Networks with Optimized Communication and Resources
- Learning Stable Vector Fields on Lie Groups
- Sinkformers: Transformers with Doubly Stochastic Attention
- Clustering of Bank Customers using LSTM-based encoder-decoder and Dynamic Time Warping
- Exploiting Cross-Modal Prediction and Relation Consistency for Semi-Supervised Image Captioning
- Forecasting Financial Market Structure from Network Features using Machine Learning
- Feature Learning and Signal Propagation in Deep Neural Networks
- Creating and Reenacting Controllable 3D Humans with Differentiable Rendering
All 159
- Few-shot Semantic Segmentation with Self-supervision from Pseudo-classes
- UBR2S: Uncertainty-Based Resampling and Reweighting Strategy for Unsupervised Domain Adaptation
- A Fast and Accurate Splitting Method for Optimal Transport: Analysis and Implementation
- Measuring the Non-Transitivity in Chess
- MANDERA: Malicious Node Detection in Federated Learning via Ranking
- BlendGAN: Implicitly GAN Blending for Arbitrary Stylized Face Generation
- Projection-Free Algorithm for Stochastic Bi-level Optimization
- Mechanistic Interpretation of Machine Learning Inference: A Fuzzy Feature Importance Fusion Approach
- Creating Knowledge Graphs Subsets using Shape Expressions
- Variational Wasserstein Barycenters with c-Cyclical Monotonicity
- ListReader: Extracting List-form Answers for Opinion Questions
- Differentially Private Coordinate Descent for Composite Empirical Risk Minimization
- Adaptive Fusion Affinity Graph with Noise-free Online Low-rank Representation for Natural Image Segmentation
- Multimodal-Boost: Multimodal Medical Image Super-Resolution using Multi-Attention Network with Wavelet Transform
- Conditional Variational Autoencoder for Learned Image Reconstruction
- Deep Two-Stream Video Inference for Human Body Pose and Shape Estimation
- Depth-only Object Tracking
- DQC: a Python program package for Differentiable Quantum Chemistry
- Explainable, automated urban interventions to improve pedestrian and vehicle safety
- Diversified Sampling for Batched Bayesian Optimization with Determinantal Point Processes
- GCCN: Global Context Convolutional Network
- Reimagine BiSeNet for Real-Time Domain Adaptation in Semantic Segmentation
- UVO Challenge on Video-based Open-World Segmentation 2021: 1st Place Solution
- Projective Manifold Gradient Layer for Deep Rotation Regression
- Pixel-by-Pixel Cross-Domain Alignment for Few-Shot Semantic Segmentation
- WebFed: Cross-platform Federated Learning Framework Based on Web Browser with Local Differential Privacy
- Cross-domain Trajectory Prediction with CTP-Net
- Occlusion-Robust Object Pose Estimation with Holistic Representation
- Explainable Landscape-Aware Optimization Performance Prediction
- Improving Face Recognition with Large Age Gaps by Learning to Distinguish Children
- Rethinking Generalization Performance of Surgical Phase Recognition with Expert-Generated Annotations
- SciCap: Generating Captions for Scientific Figures
- DistFL: Distribution-aware Federated Learning for Mobile Scenarios
- Error-correcting neural networks for semi-Lagrangian advection in the level-set method
- Multi-Stream Attention Learning for Monocular Vehicle Velocity and Inter-Vehicle Distance Estimation
- Multimodal Semi-Supervised Learning for 3D Objects
- High Fidelity 3D Reconstructions with Limited Physical Views
- ProtoShotXAI: Using Prototypical Few-Shot Architecture for Explainable AI
- Automatic Detection of Injection and Press Mold Parts on 2D Drawing Using Deep Neural Network
- Learning Text-Image Joint Embedding for Efficient Cross-Modal Retrieval with Deep Feature Engineering
- Model Inspired Autoencoder for Unsupervised Hyperspectral Image Super-Resolution
- DIML/CVL RGB-D Dataset: 2M RGB-D Images of Natural Indoor and Outdoor Scenes
- Text Counterfactuals via Latent Optimization and Shapley-Guided Search
- Wide and Narrow: Video Prediction from Context and Motion
- Multiwave COVID-19 Prediction from Social Awareness using Web Search and Mobility Data
- EvoGAN: An Evolutionary Computation Assisted GAN
- PRECAD: Privacy-Preserving and Robust Federated Learning via Crypto-Aided Differential Privacy
- Anti-Backdoor Learning: Training Clean Models on Poisoned Data
- Logical Assessment Formula and Its Principles for Evaluations with Inaccurate Ground-Truth Labels
- Merging Two Cultures: Deep and Statistical Learning
- Adaptive Bridge between Training and Inference for Dialogue
- MHAttnSurv: Multi-Head Attention for Survival Prediction Using Whole-Slide Pathology Images
- Prototypical Classifier for Robust Class-Imbalanced Learning
- GCNScheduler: Scheduling Distributed Computing Applications using Graph Convolutional Networks
- Signature-Graph Networks
- Adverse Media Mining for KYC and ESG Compliance
- Computing the Invariant Distribution of Randomly Perturbed Dynamical Systems Using Deep Learning
- Neural-guided, Bidirectional Program Search for Abstraction and Reasoning
- Proceedings Third Workshop on Formal Methods for Autonomous Systems