Papers
Tue 14 Dec 2021
188 papers
- Dual-Key Multimodal Backdoors for Visual Question AnsweringLLM safety and security → Backdoor and data poisoning attacks
- Modeling Strong and Human-Like Gameplay with KL-Regularized SearchOffline RL and imitation learning from data → Imitation learning methods
- CoCo-BERT: Improving Video-Language Pre-training with Contrastive Cross-modal Matching and DenoisingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Quantifying Multimodality in World ModelsWorld models → Latent dynamics models and model-based RL
- A Deep Knowledge Distillation framework for EEG assisted enhancement of single-lead ECG based sleep stagingKnowledge distillation → Distillation for medical imaging
- Towards a Unified Foundation Model: Jointly Pre-Training Transformers on Unpaired Images and TextKnowledge distillation → Multimodal distillation
- Score-Based Generative Modeling with Critically-Damped Langevin DiffusionDiffusion models → Diffusion foundations and sampling
- Applicability of Large Corporate Credit Models to Small Business Risk Assessment
- A Novel Approach to Topological Graph Theory with R-K Diagrams and Gravitational Wave Analysis
- Modeling Advection on Directed Graphs using Mat'ern Gaussian Processes for Traffic Flow
- Towards Interactive Language Modeling
- Few-shot Multi-hop Question Answering over Knowledge Base
- BACON: Deep-Learning Powered AI for Poetry Generation with Author Linguistic Style Transfer
- Artificial Intelligence Ethics and Safety: practical tools for creating "good" models
- How are cities pledging net zero? A computational approach to analyzing subnational climate strategies
- Sampling Trade-Offs in Duty-Cycled Systems for Air Quality Low-Cost Sensors
- Progressive Graph Convolution Network for EEG Emotion Recognition
- Combating Collusion Rings is Hard but Possible
- Event-Aware Multimodal Mobility Nowcasting
- Utilizing XAI technique to improve autoencoder based model for computer network anomaly detection with shapley additive explanation(SHAP)
- Towards Explainable Artificial Intelligence in Banking and Financial Services
- Climate-Invariant Machine Learning
- Generalization Bounds for Stochastic Gradient Langevin Dynamics: A Unified View via Information Leakage Analysis
- Programmatic Reward Design by Example
- Performance or Trust? Why Not Both. Deep AUC Maximization with Self-Supervised Learning for COVID-19 Chest X-ray Classifications
- Deep Generative Models for Vehicle Speed Trajectories
- How to Learn and Represent Abstractions: An Investigation using Symbolic Alchemy
- Single Image Automatic Radial Distortion Compensation Using Deep Convolutional Network
- A Simple But Powerful Graph Encoder for Temporal Knowledge Graph Completion
- Maximum Bayes Smatch Ensemble Distillation for AMR Parsing
- Revisiting 3D Object Detection From an Egocentric Perspective
- Variable Selection and Regularization via Arbitrary Rectangle-range Generalized Elastic Net
- Online antisemitism across platforms
- Deciphering antibody affinity maturation with language models and weakly supervised learning
- Assessing Human Interaction in Virtual Reality With Continually Learning Prediction Agents Based on Reinforcement Learning Algorithms: A Pilot Study
- Filling gaps in trustworthy development of AI
- Do Answers to Boolean Questions Need Explanations? Yes
- Boosted Dense Retriever
- Efficient Dynamic Graph Representation Learning at Scale
- Nonlinear Discrete-time System Identification without Persistence of Excitation: Finite-time Concurrent Learning Methods
- Split Moves for Monte-Carlo Tree Search
- Representation and Invariance in Reinforcement Learning
- CEM-GD: Cross-Entropy Method with Gradient Descent Planner for Model-Based Reinforcement Learning
- Learning to track environment state via predictive autoencoding
- Neighborhood Random Walk Graph Sampling for Regularized Bayesian Graph Convolutional Neural Networks
- Classifying Emails into Human vs Machine Category
- Autonomous Navigation System from Simultaneous Localization and Mapping
- Decomposing the Deep: Finding Class Specific Filters in Deep CNNs
- Scatterbrained: A flexible and expandable pattern for decentralized machine learning
- Representing Inferences and their Lexicalization
- Learning to Retrieve Passages without Supervision
- Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning
- Machine learning a manifold
- Adaptive Affinity for Associations in Multi-Target Multi-Camera Tracking
- Learning Connectivity-Maximizing Network Configurations
- Out-of-Distribution Detection Without Class Labels
- Approaches Toward Physical and General Video Anomaly Detection
- Massive-scale Decoding for Text Generation using Lattices
- AdaViT: Adaptive Tokens for Efficient Vision Transformer
- On the Use of External Data for Spoken Named Entity Recognition
- EgoBody: Human Body Shape and Motion of Interacting People from Head-Mounted Devices
- How and Why to Manipulate Your Own Agent: On the Incentives of Users of Learning Agents
- Exploring Neural Models for Query-Focused Summarization
- Training Multi-Layer Over-Parametrized Neural Network in Subquadratic Time
- Visualizing Ensemble Predictions of Music Mood
- Speeding up Learning Quantum States through Group Equivariant Convolutional Quantum Ans"atze
- Improving Compositional Generalization with Latent Structure and Data Augmentation
- Meta-Analysis of Randomized Experiments with Applications to Heavy-Tailed Response Data
- Learning to Deblur and Rotate Motion-Blurred Faces
- Rushing and Strolling among Answer Sets -- Navigation Made Easy
- Mitigating Channel-wise Noise for Single Image Super Resolution
- Reinforcing Semantic-Symmetry for Document Summarization
- GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval
- Robust Graph Neural Networks via Probabilistic Lipschitz Constraints
- Multi-treatment Effect Estimation from Biomedical Data
- Epigenomic language models powered by Cerebras
- Cooperation for Scalable Supervision of Autonomy in Mixed Traffic
- VALSE: A Task-Independent Benchmark for Vision and Language Models Centered on Linguistic Phenomena
- Multi-Modal Temporal Attention Models for Crop Mapping from Satellite Time Series
- Classification of histopathology images using ConvNets to detect Lupus Nephritis
- Tackling Query-Focused Summarization as A Knowledge-Intensive Task: A Pilot Study
- Scientific Discovery and the Cost of Measurement -- Balancing Information and Cost in Reinforcement Learning
- Reinforced Abstractive Summarization with Adaptive Length Controlling
- Improving COVID-19 CXR Detection with Synthetic Data Augmentation
- n-CPS: Generalising Cross Pseudo Supervision to n Networks for Semi-Supervised Semantic Segmentation
- LMTurk: Few-Shot Learners as Crowdsourcing Workers in a Language-Model-as-a-Service Framework
- A Style and Semantic Memory Mechanism for Domain Generalization
- Transferrable Contrastive Learning for Visual Domain Adaptation
- CORE-Text: Improving Scene Text Detection with Contrastive Relational Reasoning
- Adversarial Examples for Extreme Multilabel Text Classification
- Anti-Money Laundering Alert Optimization Using Machine Learning with Graphs
- Reconfiguring Shortest Paths in Graphs
- Sentiment Dynamics of Success: Fractal Scaling of Story Arcs Predicts Reader Preferences
- EABlock: A Declarative Entity Alignment Block for Knowledge Graph Creation Pipelines
- Pruning Coherent Integrated Photonic Neural Networks Using the Lottery Ticket Hypothesis
- Two Contrasting Data Annotation Paradigms for Subjective NLP Tasks
- I M Avatar: Implicit Morphable Head Avatars from Videos
- AI Ethics Principles in Practice: Perspectives of Designers and Developers
- Efficient differentiable quadratic programming layers: an ADMM approach
- Scale-Aware Neural Architecture Search for Multivariate Time Series Forecasting
All 188
- Triangulation candidates for Bayesian optimization
- Measuring Fairness with Biased Rulers: A Survey on Quantifying Biases in Pretrained Language Models
- Text Classification Models for Form Entity Linking
- An Interpretive Constrained Linear Model for ResNet and MgNet
- Bayesian Learning of Play Styles in Multiplayer Video Games
- Graph Kernel Neural Networks
- Multi-Leader Congestion Games with an Adversary
- Exploring the Limits of Natural Language Inference Based Setup for Few-Shot Intent Detection
- Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation
- Conjugated Discrete Distributions for Distributional Reinforcement Learning
- Multi-Modal Perception Attention Network with Self-Supervised Learning for Audio-Visual Speaker Tracking
- Towards A Reliable Ground-Truth For Biased Language Detection
- Stochastic Planner-Actor-Critic for Unsupervised Deformable Image Registration
- Marine Bubble Flow Quantification Using Wide-Baseline Stereo Photogrammetry
- Branching Time Active Inference with Bayesian Filtering
- Stochastic Actor-Executor-Critic for Image-to-Image Translation
- Robustifying automatic speech recognition by extracting slowly varying features
- Handwritten text generation and strikethrough characters augmentation
- Do You Think It's Biased? How To Ask For The Perception Of Media Bias
- TASSY -- A Text Annotation Survey System
- Identification of Biased Terms in News Articles by Comparison of Outlet-specific Word Embeddings
- Improving Human-Object Interaction Detection via Phrase Learning and Label Composition
- You Only Need One Model for Open-domain Question Answering
- TRACER: Extreme Attention Guided Salient Object Tracing Network
- Geometry-Contrastive Transformer for Generalized 3D Pose Transfer
- SCORE: Approximating Curvature Information under Self-Concordant Regularization
- Learning to Guide and to Be Guided in the Architect-Builder Problem
- Temporal Transformer Networks with Self-Supervision for Action Recognition
- Multi-Row, Multi-Span Distant Supervision For Table+Text Question
- OMAD: Object Model with Articulated Deformations for Pose Estimation and Retrieval
- Biased Gradient Estimate with Drastic Variance Reduction for Meta Reinforcement Learning
- Model Uncertainty-Aware Knowledge Amalgamation for Pre-Trained Language Models
- On the Impact of Hard Adversarial Instances on Overfitting in Adversarial Training
- Kernel-aware Burst Blind Super-Resolution
- Autonomous Navigation and Configuration of Integrated Access Backhauling for UAV Base Station Using Reinforcement Learning
- Conversational Search with Mixed-Initiative -- Asking Good Clarification Questions backed-up by Passage Retrieval
- MMO: Meta Multi-Objectivization for Software Configuration Tuning
- Smoothness and effective regularizations in learned embeddings for shape matching
- Levels of Autonomous Radiology
- Automatic COVID-19 disease diagnosis using 1D convolutional neural network and augmentation with human respiratory sound based on parameters: cough, breath, and voice
- SNF: Filter Pruning via Searching the Proper Number of Filters
- Bilateral Cross-Modality Graph Matching Attention for Feature Fusion in Visual Question Answering
- MCDS: AI Augmented Workflow Scheduling in Mobile Edge Cloud Computing Systems
- Inductive Semi-supervised Learning Through Optimal Transport
- TopNet: Learning from Neural Topic Model to Generate Long Stories
- Improving Hybrid CTC/Attention End-to-end Speech Recognition with Pretrained Acoustic and Language Model
- Federated Learning for Face Recognition with Gradient Correction
- Static-Dynamic Co-Teaching for Class-Incremental 3D Object Detection
- Compensating trajectory bias for unsupervised patient stratification using adversarial recurrent neural networks
- Unsupervised feature selection via self-paced learning and low-redundant regularization
- Margin Calibration for Long-Tailed Visual Recognition
- Exploring Category-correlated Feature for Few-shot Image Classification
- Meta-CPR: Generalize to Unseen Large Number of Agents with Communication Pattern Recognition Module
- HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework
- A real-time spatiotemporal AI model analyzes skill in open surgical videos
- Noise Reduction and Driving Event Extraction Method for Performance Improvement on Driving Noise-based Surface Anomaly Detection
- Simple Local Attentions Remain Competitive for Long-Context Tasks
- ACE-BERT: Adversarial Cross-modal Enhanced BERT for E-commerce Retrieval
- Modeling Image Quantization Tradeoffs for Optimal Compression
- Weakly Supervised High-Fidelity Clothing Model Generation
- From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression
- MDD-Eval: Self-Training on Augmented Data for Multi-Domain Dialogue Evaluation
- An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering
- Calibrated and Sharp Uncertainties in Deep Learning via Density Estimation
- Co-training Transformer with Videos and Images Improves Action Recognition
- On the use of Cortical Magnification and Saccades as Biological Proxies for Data Augmentation
- Discovering Explanatory Sentences in Legal Case Decisions Using Pre-trained Language Models
- Minimization of Stochastic First-order Oracle Complexity of Adaptive Methods for Nonconvex Optimization
- A New Perspective on the Effects of Spectrum in Graph Neural Networks
- Birds Eye View Social Distancing Analysis System
- Federated Nearest Neighbor Classification with a Colony of Fruit-Flies: With Supplement
- ImportantAug: a data augmentation agent for speech
- PP-HumanSeg: Connectivity-Aware Portrait Segmentation with a Large-Scale Teleconferencing Video Dataset
- Linear Discriminant Analysis with High-dimensional Mixed Variables
- GEO-BLEU: Similarity Measure for Geospatial Sequences
- CLIP-Lite: Information Efficient Visual Representation Learning with Language Supervision
- Joint 3D Object Detection and Tracking Using Spatio-Temporal Representation of Camera Image and LiDAR Point Clouds
- EMDS-6: Environmental Microorganism Image Dataset Sixth Version for Image Denoising, Segmentation, Feature Extraction, Classification and Detection Methods Evaluation
- Non-Asymptotic Analysis of Online Multiplicative Stochastic Gradient Descent
- E-CRF: Embedded Conditional Random Field for Boundary-caused Class Weights Confusion in Semantic Segmentation
- COVID-19 Pneumonia and Influenza Pneumonia Detection Using Convolutional Neural Networks
- Learning High-Dimensional Parametric Maps via Reduced Basis Adaptive Residual Networks
- Building on Huang et al. GlossBERT for Word Sense Disambiguation
- ElePose: Unsupervised 3D Human Pose Estimation by Predicting Camera Elevation and Learning Normalizing Flows on 2D Poses
- Heuristic Hyperparameter Optimization for Convolutional Neural Networks using Genetic Algorithm
- DeepDiffusion: Unsupervised Learning of Retrieval-adapted Representations via Diffusion-based Ranking on Latent Feature Manifold
- Real-Time Neural Voice Camouflage
- Dynamic Learning of Correlation Potentials for a Time-Dependent Kohn-Sham System