Papers
Wed 7 Apr 2021
173 papers
- Rethinking the Backdoor Attacks' Triggers: A Frequency PerspectiveLLM safety and security → Backdoor and data poisoning attacks
- Distilling and Transferring Knowledge via cGAN-generated Samples for Image Classification and RegressionKnowledge distillation → General knowledge distillation methods
- Seeing Out of tHe bOx: End-to-End Pre-training for Vision-Language Representation LearningMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Reinforcement Learning with a Disentangled Universal Value Function for Item RecommendationWorld models → Latent dynamics models and model-based RL
- Dynabench: Rethinking Benchmarking in NLP
- Speak or Chat with Me: End-to-End Spoken Language Understanding System with Flexible Inputs
- Where and What? Examining Interpretable Disentangled Representations
- Knowledge-Based Paranoia Search in Trick-Taking
- ELO System for Skat and Other Games of Chance
- NullaNet Tiny: Ultra-low-latency DNN Inference Through Fixed-function Combinational Logic
- Contrastive Learning of Global-Local Video Representations
- Concentration bounds for the empirical angular measure with statistical learning applications
- Generating Multi-type Temporal Sequences to Mitigate Class-imbalanced Problem
- FatNet: A Feature-attentive Network for 3D Point Cloud Processing
- Track, Check, Repeat: An EM Approach to Unsupervised Tracking
- Towards On-Device Face Recognition in Body-worn Cameras
- Quantum Enhanced Filter: QFilter
- Pushing the Limits of Non-Autoregressive Speech Recognition
- PrivateSNN: Privacy-Preserving Spiking Neural Networks
- Nanosecond machine learning event classification with boosted decision trees in FPGA for high energy physics
- Evolutionary rates of information gain and decay in fluctuating environments
- Bootstrapping of memetic from genetic evolution via inter-agent selection pressures
- Triplot: model agnostic measures and visualisations for variable importance in predictive models that take into account the hierarchical correlation structure
- Contour Proposal Networks for Biomedical Instance Segmentation
- Interpreting Verbal Metaphors by Paraphrasing
- Ensemble Inference Methods for Models With Noisy and Expensive Likelihoods
- Lower Bounds from Fitness Levels Made Easy
- An Object Detection based Solver for Google's Image reCAPTCHA v2
- EXPATS: A Toolkit for Explainable Automated Text Scoring
- SOLD2: Self-supervised Occlusion-aware Line Description and Detection
- Monitoring Social-distance in Wide Areas during Pandemics: a Density Map and Segmentation Approach
- Universal Spectral Adversarial Attacks for Deformable Shapes
- Prism: Private Verifiable Set Computation over Multi-Owner Outsourced Databases
- Enabling Integration and Interaction for Decentralized Artificial Intelligence in Airline Disruption Management
- OVANet: One-vs-All Network for Universal Domain Adaptation
- Spotify at TREC 2020: Genre-Aware Abstractive Podcast Summarization
- Evaluating the state-of-the-art in mapping research spaces: a Brazilian case study
- Automatic Generation of Descriptive Titles for Video Clips Using Deep Learning
- Single-Qubit Fidelity Assessment of Quantum Annealing Hardware
- SCANimate: Weakly Supervised Learning of Skinned Clothed Avatar Networks
- PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics
- Regularizing Generative Adversarial Networks under Limited Data
- Streaming Self-Training via Domain-Agnostic Unlabeled Images
- Warp Consistency for Unsupervised Learning of Dense Correspondences
- Learned transform compression with optimized entropy encoding
- Hand-Object Contact Consistency Reasoning for Human Grasps Generation
- Minimax Estimation of Linear Functions of Eigenvectors in the Face of Small Eigen-Gaps
- Combining Pre-trained Word Embeddings and Linguistic Features for Sequential Metaphor Identification
- Modern Hopfield Networks for Few- and Zero-Shot Reaction Template Prediction
- A Unified Model for Fingerprint Authentication and Presentation Attack Detection
- Leaving Goals on the Pitch: Evaluating Decision Making in Soccer
- Multimodal Entity Linking for Tweets
- Semi-Supervised Classification of Social Media Posts: Identifying Sex-Industry Posts to Enable Better Support for Those Experiencing Sex-Trafficking
- Evaluation of Time Series Forecasting Models for Estimation of PM2.5 Levels in Air
- Dual-Consistency Semi-Supervised Learning with Uncertainty Quantification for COVID-19 Lesion Segmentation from CT Images
- Efficient and Accurate In-Database Machine Learning with SQL Code Generation in Python
- DoubleML -- An Object-Oriented Implementation of Double Machine Learning in Python
- OXnet: Omni-supervised Thoracic Disease Detection from Chest X-rays
- Self-Supervised Learning for Semi-Supervised Temporal Action Proposal
- The Use of Video Captioning for Fostering Physical Activity
- Learning robust speech representation with an articulatory-regularized variational autoencoder
- GrammarTagger: A Multilingual, Minimally-Supervised Grammar Profiler for Language Education
- Analysis of Twitter Users' Lifestyle Choices using Joint Embedding Model
- Deep Learning and Traffic Classification: Lessons learned from a commercial-grade dataset with hundreds of encrypted and zero-day applications
- Adversarial Robustness Guarantees for Gaussian Processes
- The SARAS Endoscopic Surgeon Action Detection (ESAD) dataset: Challenges and methods
- On Self-Contact and Human Pose
- Empowering Prosumer Communities in Smart Grid with Wireless Communications and Federated Edge Learning
- Simple Imputation Rules for Prediction with Missing Data: Contrasting Theoretical Guarantees with Empirical Performance
- Improving Robustness of Deep Reinforcement Learning Agents: Environment Attack based on the Critic Network
- TenSEAL: A Library for Encrypted Tensor Operations Using Homomorphic Encryption
- AI perspectives in Smart Cities and Communities to enable road vehicle automation and smart traffic control
- Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering
- A matrix math facility for Power ISA(TM) processors
- Image Composition Assessment with Saliency-augmented Multi-pattern Pooling
- Dense Dilated UNet: Deep Learning for 3D Photoacoustic Tomography Image Reconstruction
- Partially-Connected Differentiable Architecture Search for Deepfake and Spoofing Detection
- Single Source One Shot Reenactment using Weighted motion From Paired Feature Points
- Which Neural Network to Choose for Post-Fault Localization, Dynamic State Estimation and Optimal Measurement Placement in Power Systems?
- Learning Residue-Aware Correlation Filters and Refining Scale Estimates with the GrabCut for Real-Time UAV Tracking
- Scaling Scaling Laws with Board Games
- Risk-Conditioned Distributional Soft Actor-Critic for Risk-Sensitive Navigation
- Neural Articulated Radiance Field
- VGF-Net: Visual-Geometric Fusion Learning for Simultaneous Drone Navigation and Height Mapping
- V2F-Net: Explicit Decomposition of Occluded Pedestrian Detection
- HIH: Towards More Accurate Face Alignment via Heatmap in Heatmap
- LIFE: Lighting Invariant Flow Estimation
- Spectral Analysis of the Neural Tangent Kernel for Deep Residual Networks
- HumAID: Human-Annotated Disaster Incidents Data from Twitter with Deep Learning Benchmarks
- Hollow-tree Super: a directional and scalable approach for feature importance in boosted tree models
- Trajectory Prediction with Latent Belief Energy-Based Model
- Universal and Flexible Optical Aberration Correction Using Deep-Prior Based Deconvolution
- BreakingBERT@IITK at SemEval-2021 Task 9 : Statement Verification and Evidence Finding with Tables
- Analysis Towards Classification of Infection and Ischaemia of Diabetic Foot Ulcers
- Distributional Robustness Loss for Long-tail Learning
- The Proper Use of Google Trends in Forecasting Models
- DG-Font: Deformable Generative Networks for Unsupervised Font Generation
- Everything's Talkin': Pareidolia Face Reenactment
- Differentiable Patch Selection for Image Recognition
- Optimizing Memory Efficiency of Graph Neural Networks on Edge Computing Platforms
All 173
- Enhancing Scientific Papers Summarization with Citation Graph
- Artificial and beneficial -- Exploiting artificial images for aerial vehicle detection
- Few-Shot Incremental Learning with Continually Evolved Classifiers
- Multimodal Continuous Visual Attention Mechanisms
- On-device Federated Learning with Flower
- How to Write a Bias Statement: Recommendations for Submissions to the Workshop on Gender Bias in NLP
- Graph-based Normalizing Flow for Human Motion Generation and Reconstruction
- Utilizing Self-supervised Representations for MOS Prediction
- RTIC: Residual Learning for Text and Image Composition using Graph Convolutional Network
- The AS-NU System for the M2VoC Challenge
- FedFace: Collaborative Learning of Face Recognition Model
- Representative & Fair Synthetic Data
- Librispeech Transducer Model with Internal Language Model Prior Correction
- Siamese Neural Network with Joint Bayesian Model Structure for Speaker Verification
- CNN Based Segmentation of Infarcted Regions in Acute Cerebral Stroke Patients From Computed Tomography Perfusion Imaging
- Universal Adversarial Training with Class-Wise Perturbations
- On the Power of Refined Skat Selection
- Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels
- Optimal Algorithms for Differentially Private Stochastic Monotone Variational Inequalities and Saddle-Point Problems
- Plinius: Secure and Persistent Machine Learning Model Training
- [RE] CNN-generated images are surprisingly easy to spot...for now
- Synthetic training data generation for deep learning based quality inspection
- Few-Shot Meta-Learning on Point Cloud for Semantic Segmentation
- Active learning using weakly supervised signals for quality inspection
- Self-supervised Learning of Depth Inference for Multi-view Stereo
- MPN: Multimodal Parallel Network for Audio-Visual Event Localization
- ACM-Net: Action Context Modeling Network for Weakly-Supervised Temporal Action Localization
- The art of defense: letting networks fool the attacker
- DyGCN: Dynamic Graph Embedding with Graph Convolutional Network
- The Emergence of Abstract and Episodic Neurons in Episodic Meta-RL
- A hybrid inference system for improved curvature estimation in the level-set method using machine learning
- Distantly Supervised Transformers For E-Commerce Product QA
- Concentration Inequalities for Two-Sample Rank Processes with Application to Bipartite Ranking
- OpenGAN: Open-Set Recognition via Open Data Generation
- Deep Interpretable Models of Theory of Mind
- TSception: Capturing Temporal Dynamics and Spatial Asymmetry from EEG for Emotion Recognition
- A Question-answering Based Framework for Relation Extraction Validation
- Bootstrapping Your Own Positive Sample: Contrastive Learning With Electronic Health Record Data
- Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals with Application to Proximal Causal Inference
- Pretrained equivariant features improve unsupervised landmark discovery
- Sparse Oblique Decision Trees: A Tool to Understand and Manipulate Neural Net Features
- Unsupervised Visual Attention and Invariance for Reinforcement Learning
- An Iteratively Reweighted Method for Sparse Optimization on Nonconvex ℓp Ball
- Multimodal Object Detection via Probabilistic Ensembling
- Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units
- PyNET-CA: Enhanced PyNET with Channel Attention for End-to-End Mobile Image Signal Processing
- Facial Attribute Transformers for Precise and Robust Makeup Transfer
- Online Feature Screening for Data Streams with Concept Drift
- FSR: Accelerating the Inference Process of Transducer-Based Models by Applying Fast-Skip Regularization
- Adapting Speaker Embeddings for Speaker Diarisation
- Three-class Overlapped Speech Detection using a Convolutional Recurrent Neural Network
- Document Layout Analysis via Dynamic Residual Feature Fusion
- Speckles-Training-Based Denoising Convolutional Neural Network Ghost Imaging
- Harmless label noise and informative soft-labels in supervised classification
- On the Critical Role of Conventions in Adaptive Human-AI Collaboration
- Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis
- Affordance Transfer Learning for Human-Object Interaction Detection
- Deep Transformers for Fast Small Intestine Grounding in Capsule Endoscope Video
- Quasi-Newton Quasi-Monte Carlo for variational Bayes
- Self-Supervised Learning for Gastritis Detection with Gastric X-ray Images
- The Value of Planning for Infinite-Horizon Model Predictive Control
- Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification
- Capturing Multi-Resolution Context by Dilated Self-Attention
- Soft-Label Anonymous Gastric X-ray Image Distillation
- Interpreting A Pre-trained Model Is A Key For Model Architecture Optimization: A Case Study On Wav2Vec 2.0
- LI-Net: Large-Pose Identity-Preserving Face Reenactment Network
- Deep Implicit Statistical Shape Models for 3D Medical Image Delineation
- MultiScene: A Large-scale Dataset and Benchmark for Multi-scene Recognition in Single Aerial Images
- GEM: Group Enhanced Model for Learning Dynamical Control Systems
- Learning Triadic Belief Dynamics in Nonverbal Communication from Videos
- Non-Asymptotic Analysis for Two Time-scale TDC with General Smooth Function Approximation
- ARC: A Vision-based Automatic Retail Checkout System
- Better Neural Machine Translation by Extracting Linguistic Information from BERT