Papers
Wed 23 Mar 2022
186 papers
- Competency Assessment for Autonomous Agents using Deep Generative ModelsWorld models → World models for language agents
- Mitigating Gender Bias in Distilled Language Models via Counterfactual Role ReversalKnowledge distillation → Knowledge distillation for LLMs
- AbductionRules: Training Transformers to Explain Unexpected InputsLLM reasoning → Reasoning benchmarks and evaluation
- A Theoretically Grounded Benchmark for Evaluating Machine CommonsenseLLM reasoning → Reasoning benchmarks and evaluation
- Impact of initial outbreak locations on transmission risk of infectious diseases in an intra-urban area
- Assessing dengue fever risk in Costa Rica by using climate variables and machine learning techniques
- Feasibility of nowcasting SDG indicators: a comprehensive survey
- Visual explanations for polyp detection: How medical doctors assess intrinsic versus extrinsic explanations
- Powerful Physical Adversarial Examples Against Practical Face Recognition Systems
- Advanced Skills through Multiple Adversarial Motion Priors in Reinforcement Learning
- Wind speed forecast using random forest learning method
- Measuring the Impact of Taxes and Public Services on Property Values: A Double Machine Learning Approach
- DPST: De Novo Peptide Sequencing with Amino-Acid-Aware Transformers
- Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges
- Kernel Robust Hypothesis Testing
- Efficient Exploration via First-Person Behavior Cloning Assisted Rapidly-Exploring Random Trees
- Multidimensional Belief Quantification for Label-Efficient Meta-Learning
- Asynchronous Reinforcement Learning for Real-Time Control of Physical Robots
- Mokey: Enabling Narrow Fixed-Point Inference for Out-of-the-Box Floating-Point Transformer Models
- ThingTalk: An Extensible, Executable Representation Language for Task-Oriented Dialogues
- Is Fairness Only Metric Deep? Evaluating and Addressing Subgroup Gaps in Deep Metric Learning
- UMT: Unified Multi-modal Transformers for Joint Video Moment Retrieval and Highlight Detection
- Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders
- Contextual Model Aggregation for Fast and Robust Federated Learning in Edge Computing
- Towards Backwards-Compatible Data with Confounded Domain Adaptation
- What to Hide from Your Students: Attention-Guided Masked Image Modeling
- Predicting Multi-Antenna Frequency-Selective Channels via Meta-Learned Linear Filters based on Long-Short Term Channel Decomposition
- The Challenges of Continuous Self-Supervised Learning
- Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation
- Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image Translation
- RILI: Robustly Influencing Latent Intent
- On Understanding the Influence of Controllable Factors with a Feature Attribution Algorithm: a Medical Case Study
- What is Software Quality for AI Engineers? Towards a Thinning of the Fog
- Enhancing Classifier Conservativeness and Robustness by Polynomiality
- Affective Feedback Synthesis Towards Multimodal Text and Image Data
- Learning to generate line drawings that convey geometry and semantics
- Trust in AI and Its Role in the Acceptance of AI Technologies
- Possibility Before Utility: Learning And Using Hierarchical Affordances
- Revisiting Multi-Scale Feature Fusion for Semantic Segmentation
- Sample-efficient Iterative Lower Bound Optimization of Deep Reactive Policies for Planning in Continuous MDPs
- A Supervised Machine Learning Approach for Sequence Based Protein-protein Interaction (PPI) Prediction
- Computed Tomography Reconstruction using Generative Energy-Based Priors
- Learning Scene Flow in 3D Point Clouds with Noisy Pseudo Labels
- Linearizing Transformer with Key-Value Memory
- Asynchronous Collaborative Learning Across Data Silos
- Applications of physics informed neural operators
- Q-FW: A Hybrid Classical-Quantum Frank-Wolfe for Quadratic Binary Optimization
- MR Image Denoising and Super-Resolution Using Regularized Reverse Diffusion
- Evaluation of Non-Invasive Thermal Imaging for detection of Viability of Onchocerciasis worms
- Unsupervised Pre-Training on Patient Population Graphs for Patient-Level Predictions
- Unsupervised Salient Object Detection with Spectral Cluster Voting
- Hybrid Mesh-neural Representation for 3D Transparent Object Reconstruction
- StructToken : Rethinking Semantic Segmentation with Structural Prior
- AI Poincar'e 2.0: Machine Learning Conservation Laws from Differential Equations
- Improving the Fairness of Chest X-ray Classifiers
- VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
- R3M: A Universal Visual Representation for Robot Manipulation
- Your Policy Regularizer is Secretly an Adversary
- Minimax Regret for Cascading Bandits
- NeuMan: Neural Human Radiance Field from a Single Video
- Your "Attention" Deserves Attention: A Self-Diversified Multi-Channel Attention for Facial Action Analysis
- A Top-down Supervised Learning Approach to Hierarchical Multi-label Classification in Networks
- DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation
- GriTS: Grid table similarity metric for table structure recognition
- Constrained Clustering and Multiple Kernel Learning without Pairwise Constraint Relaxation
- Socially Fair Mitigation of Misinformation on Social Networks via Constraint Stochastic Optimization
- Dynamically Refined Regularization for Improving Cross-corpora Hate Speech Detection
- Pathways: Asynchronous Distributed Dataflow for ML
- Multi-label Transformer for Action Unit Detection
- A Deep Learning Approach to Probabilistic Forecasting of Weather
- Computational historical linguistics and language diversity in South Asia
- Semi-Supervised Graph Learning Meets Dimensionality Reduction
- Exact methods and lower bounds for the Oven Scheduling Problem
- A Survey on Cross-Lingual Summarization
- Refine-Net: Normal Refinement Neural Network for Noisy Point Clouds
- Sensing Theorems for Unsupervised Learning in Linear Inverse Problems
- A Spatial-Temporal Attention Multi-Graph Convolution Network for Ride-Hailing Demand Prediction Based on Periodicity with Offset
- An Example of the SAM+ Algorithm for Learning Action Models for Stochastic Worlds
- Quantum-enhanced Markov chain Monte Carlo
- A Context-Aware Feature Fusion Framework for Punctuation Restoration
- An Algorithmic Introduction to Savings Circles
- CroMo: Cross-Modal Learning for Monocular Depth Estimation
- A Deep Learning Framework to Reconstruct Face under Mask
- Prompt-based System for Personality and Interpersonal Reactivity Prediction
- Stable Optimization for Large Vision Model Based Deep Image Prior in Cone-Beam CT Reconstruction
- Planning Landscape Analysis for Self-Adaptive Systems
- 3D Adapted Random Forest Vision (3DARFV) for Untangling Heterogeneous-Fabric Exceeding Deep Learning Semantic Segmentation Efficiency at the Utmost Accuracy
- The VoicePrivacy 2022 Challenge Evaluation Plan
- Importance Sampling CAMs for Weakly-Supervised Segmentation
- MT-UDA: Towards Unsupervised Cross-modality Medical Image Segmentation with Limited Source Labels
- Deep Multi-View Learning for Tire Recommendation
- SMEMO: Social Memory for Trajectory Forecasting
- M-SENA: An Integrated Platform for Multimodal Sentiment Analysis
- An Attention-based Method for Action Unit Detection at the 3rd ABAW Competition
- U-Boost NAS: Utilization-Boosted Differentiable Neural Architecture Search
- Verification of safety critical control policies using kernel methods
- On the (Limited) Generalization of MasterFace Attacks and Its Relation to the Capacity of Face Representations
- Dynamically-Scaled Deep Canonical Correlation Analysis
- MetricGAN+/-: Increasing Robustness of Noise Reduction on Unseen Data
- A Framework for Fast Polarity Labelling of Massive Data Streams
All 186
- Transformer-based Multimodal Information Fusion for Facial Expression Analysis
- Ethereum Fraud Detection with Heterogeneous Graph Neural Networks
- MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images
- An Extensible Logic Embedding Tool for Lightweight Non-Classical Reasoning
- Hyper-Spectral Imaging for Overlapping Plastic Flakes Segmentation
- Robust Text Line Detection in Historical Documents: Learning and Evaluation Methods
- How Do You Do It? Fine-Grained Action Understanding with Pseudo-Adverbs
- Towards Semi-Supervised Deep Facial Expression Recognition with An Adaptive Confidence Margin
- Real-time Object Detection for Streaming Perception
- Binary Morphological Neural Network
- DR.VIC: Decomposition and Reasoning for Video Individual Counting
- Predicting the generalization gap in neural networks using topological data analysis
- The BP Dependency Function: a Generic Measure of Dependence between Random Variables
- Autofocus for Event Cameras
- Trust and Reliance in XAI -- Distinguishing Between Attitudinal and Behavioral Measures
- The state-of-the-art review on resource allocation problem using artificial intelligence methods on various computing paradigms
- Wider or Deeper Neural Network Architecture for Acoustic Scene Classification with Mismatched Recording Devices
- Self-supervised HDR Imaging from Motion and Exposure Cues
- Domain-Generalized Textured Surface Anomaly Detection
- Lane detection with Position Embedding
- NavDreams: Towards Camera-Only RL Navigation Among Humans
- Input-specific Attention Subnetworks for Adversarial Detection
- Increasing the accuracy and resolution of precipitation forecasts using deep generative models
- Cell segmentation from telecentric bright-field transmitted light microscopy images using a Residual Attention U-Net: a case study on HeLa line
- Towards Effective Clustered Federated Learning: A Peer-to-peer Framework with Adaptive Neighbor Matching
- Efficient Fully Distributed Federated Learning with Adaptive Local Links
- Unified Structure Generation for Universal Information Extraction
- ERNIE-SPARSE: Learning Hierarchical Efficient Transformer Through Regularized Self-Attention
- Certified Symmetry and Dominance Breaking for Combinatorial Optimisation
- Pre-training to Match for Unified Low-shot Relation Extraction
- DAN: a Segmentation-free Document Attention Network for Handwritten Document Recognition
- Event-Based Dense Reconstruction Pipeline
- PEAR: Personalized Re-ranking with Contextualized Transformer for Recommendation
- Node Representation Learning in Graph via Node-to-Neighbourhood Mutual Information Maximization
- ECO v1: Towards Event-Centric Opinion Mining
- Can Prompt Probe Pretrained Language Models? Understanding the Invisible Risks from a Causal View
- IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks
- Chat-Capsule: A Hierarchical Capsule for Dialog-level Emotion Analysis
- Few-shot Named Entity Recognition with Self-describing Networks
- Ev-TTA: Test-Time Adaptation for Event-Based Object Recognition
- New Distinguishers for Negation-Limited Weak Pseudorandom Functions
- Scale-Equivalent Distillation for Semi-Supervised Object Detection
- A Method of Data Augmentation to Train a Small Area Fingerprint Recognition Deep Neural Network with a Normal Fingerprint Database
- A Multi-Characteristic Learning Method with Micro-Doppler Signatures for Pedestrian Identification
- Geometry-Aware Supertagging with Heterogeneous Dynamic Convolutions
- Negative Selection by Clustering for Contrastive Learning in Human Activity Recognition
- Efficient Few-Shot Object Detection via Knowledge Inheritance
- Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably)
- Training-free Transformer Architecture Search
- Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging
- Integrating Vectorized Lexical Constraints for Neural Machine Translation
- Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection
- Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence With Self-supervised Learning
- Towards Expressive Speaking Style Modelling with Hierarchical Context Information for Mandarin Speech Synthesis
- Privacy-Preserving Personalized Fitness Recommender System (P3FitRec): A Multi-level Deep Learning Approach
- Deep Frequency Filtering for Domain Generalization
- Biceph-Net: A robust and lightweight framework for the diagnosis of Alzheimer's disease using 2D-MRI scans and deep similarity learning
- Self-Supervised Robust Scene Flow Estimation via the Alignment of Probability Density Functions
- Learning to Censor by Noisy Sampling
- An Adaptive Gradient Method with Energy and Momentum
- FullSubNet+: Channel Attention FullSubNet with Complex Spectrograms for Speech Enhancement
- Converse: A Tree-Based Modular Task-Oriented Dialogue System
- Unifying Motion Deblurring and Frame Interpolation with Events
- Adaptive Transformers for Robust Few-shot Cross-domain Face Anti-spoofing
- An Empirical Study of Memorization in NLP
- Comprehensive Benchmark Datasets for Amharic Scene Text Detection and Recognition
- An Emulation Framework for Fire Front Spread
- Semi-Supervised Hybrid Spine Network for Segmentation of Spine MR Images
- 3D-EDM: Early Detection Model for 3D-Printer Faults
- Out of Distribution Detection, Generalization, and Robustness Triangle with Maximum Probability Theorem
- Approximate Inference for Stochastic Planning in Factored Spaces
- Wasserstein Distributionally Robust Optimization with Wasserstein Barycenters
- ALT: um software para an'alise de legibilidade de textos em L'ingua Portuguesa
- Should Machine Learning Models Report to Us When They Are Clueless?
- Pixel VQ-VAEs for Improved Pixel Art Representation
- Contrastive Transformer-based Multiple Instance Learning for Weakly Supervised Polyp Frame Detection
- Matrix Completion with Heterogonous Cost
- Visual Prompt Tuning
- NovGrid: A Flexible Grid World for Evaluating Agent Response to Novelty
- GOSS: Towards Generalized Open-set Semantic Segmentation
- An Optical Control Environment for Benchmarking Reinforcement Learning Algorithms
- Lymphocyte Classification in Hyperspectral Images of Ovarian Cancer Tissue Biopsy Samples
- Muscle Vision: Real Time Keypoint Based Pose Classification of Physical Exercises
- An Empirical Study on Learning and Improving the Search Objective for Unsupervised Paraphrasing
- Music Generation Using an LSTM
- Fast on-line signature recognition based on VQ with time modeling