Papers
Fri 28 Jan 2022
192 papers
- Deep Learning Methods for Abstract Visual Reasoning: A Survey on Raven's Progressive MatricesLLM reasoning → Multimodal reasoning
- Backdoors Stuck At The Frontdoor: Multi-Agent Backdoor Attacks That BackfireLLM safety and security → Prompt injection and agent security
- Can Wikipedia Help Offline Reinforcement Learning?Offline RL and imitation learning from data → Decision transformers and sequence modeling
- BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and GenerationMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Transfering Hierarchical Structure with Dual Meta Imitation LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
- DiffGAN-TTS: High-Fidelity and Efficient Text-to-Speech with Denoising Diffusion GANsDiffusion models → Audio, speech and music
- Chain-of-Thought Prompting Elicits Reasoning in Large Language ModelsLLM reasoning → Prompting and chain-of-thought reasoning
- UofA-Truth at Factify 2022 : Transformer And Transfer Learning Based Multi-Modal Fact-Checking
- Automated Creation and Human-assisted Curation of Computable Scientific Models from Code and Text
- Towards automated Capability Assessment leveraging Deep Learning
- Efficient Policy Space Response Oracles
- Development of a neural network to recognize standards and features from 3D CAD models
- Dominant Set-based Active Learning for Text Classification and its Application to Online Social Media
- 3D Visualization and Spatial Data Mining for Analysis of LULC Images
- Insights into performance evaluation of com-pound-protein interaction prediction methods
- Orientation-Aware Graph Neural Networks for Protein Structure Representation Learning
- A Regret Minimization Approach to Multi-Agent Control
- Top-K Ranking Deep Contextual Bandits for Information Selection Systems
- Extracting Finite Automata from RNNs Using State Merging
- Certifying Model Accuracy under Distribution Shifts
- Commonsense Knowledge Reasoning and Generation with Pre-trained Language Models: A Survey
- Mobile Robot Manipulation using Pure Object Detection
- Any-Play: An Intrinsic Augmentation for Zero-Shot Coordination
- Do You Need the Entropy Reward (in Practice)?
- FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks
- Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval
- Systematic Training and Testing for Machine Learning Using Combinatorial Interaction Testing
- Towards Safe Reinforcement Learning with a Safety Editor Policy
- A Simple Guard for Learned Optimizers
- CoordX: Accelerating Implicit Neural Representation with a Split MLP Architecture
- Benchmarking Resource Usage for Efficient Distributed Deep Learning
- Electra: Conditional Generative Model based Predicate-Aware Query Approximation
- FastFlows: Flow-Based Models for Molecular Graph Generation
- Why Should I Trust You, Bellman? The Bellman Error is a Poor Replacement for Value Error
- Discovering Exfiltration Paths Using Reinforcement Learning with Attack Graphs
- Posterior Matching for Arbitrary Conditioning
- A Unified Approach to Entity-Centric Context Tracking in Social Conversations
- Networked Restless Multi-Armed Bandits for Mobile Interventions
- Schema-Free Dependency Parsing via Sequence Generation
- Syfer: Neural Obfuscation for Private Data Release
- Planning and Learning with Adaptive Lookahead
- DoubleU-Net++: Architecture with Exploit Multiscale Features for Vertebrae Segmentation
- Few-shot Unsupervised Domain Adaptation for Multi-modal Cardiac Image Segmentation
- A deep Q-learning method for optimizing visual search strategies in backgrounds of dynamic noise
- Developing a Machine-Learning Algorithm to Diagnose Age-Related Macular Degeneration
- Bounding Training Data Reconstruction in Private (Deep) Learning
- GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games
- Physics-informed neural networks to learn cardiac fiber orientation from multiple electroanatomical maps
- EVBattery: A Large-Scale Electric Vehicle Dataset for Battery Health and Capacity Estimation
- Adversarial Examples for Good: Adversarial Examples Guided Imbalanced Learning
- Discovering Nonlinear PDEs from Scarce Data with Physics-encoded Learning
- Automatic Audio Captioning using Attention weighted Event based Embeddings
- Low-rank features based double transformation matrices learning for image classification
- On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces
- DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR
- Toward Training at ImageNet Scale with Differential Privacy
- Optimal Transport Tools (OTT): A JAX Toolbox for all things Wasserstein
- Describing Differences between Text Distributions with Natural Language
- Bioinspired Cortex-based Fast Codebook Generation
- Generative Cooperative Networks for Natural Language Generation
- REET: Robustness Evaluation and Enhancement Toolbox for Computational Pathology
- A Post-Quantum Associative Memory
- The Price of Majority Support
- Adaptive Accelerated (Extra-)Gradient Methods with Variance Reduction
- Efficient Embedding of Semantic Similarity in Control Policies via Entangled Bisimulation
- Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions
- Understanding Why Generalized Reweighting Does Not Improve Over ERM
- VRT: A Video Restoration Transformer
- Benchmarking Conventional Vision Models on Neuromorphic Fall Detection and Action Recognition Dataset
- HSADML: Hyper-Sphere Angular Deep Metric based Learning for Brain Tumor Classification
- 3D-FlowNet: Event-based optical flow estimation with 3D representation
- RiskNet: Neural Risk Assessment in Networks of Unreliable Resources
- A Review on Deep-Learning Algorithms for Fetal Ultrasound-Image Analysis
- Gradient Descent on Neurons and its Link to Approximate Second-Order Optimization
- Wasserstein Iterative Networks for Barycenter Estimation
- Joint Differentiable Optimization and Verification for Certified Reinforcement Learning
- Continuous Deep Equilibrium Models: Training Neural ODEs faster by integrating them to Infinity
- Simulating surface height and terminus position for marine outlet glaciers using a level set method with data assimilation
- Increasing the skill of short-term wind speed ensemble forecasts combining forecasts and observations via a new dynamic calibration
- Overcoming Exploration: Deep Reinforcement Learning for Continuous Control in Cluttered Environments from Temporal Logic Specifications
- Learning Stationary Nash Equilibrium Policies in n-Player Stochastic Games with Independent Chains
- Solving a directed percolation inverse problem
- Neural Optimal Transport
- Towards a Broad Coverage Named Entity Resource: A Data-Efficient Approach for Many Diverse Languages
- Self-paced learning to improve text row detection in historical documents with missing labels
- M"obius Convolutions for Spherical CNNs
- Star Temporal Classification: Sequence Classification with Partially Labeled Data
- From data to functa: Your data point is a function and you can treat it like one
- Limitation of Characterizing Implicit Regularization by Data-independent Functions
- Measure Estimation in the Barycentric Coding Model
- Kernelized Concept Erasure
- A tomographic workflow to enable deep learning for X-ray based foreign object detection
- Cause-Effect Preservation and Classification using Neurochaos Learning
- Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks
- Compositionality-Aware Graph2Seq Learning
- Generative Coarse-Graining of Molecular Conformations
- Safe Policy Improvement Approaches on Discrete Markov Decision Processes
- Unsupervised Single-shot Depth Estimation using Perceptual Reconstruction
- ReGAE: Graph autoencoder based on recursive neural networks
- Biases in In Silico Evaluation of Molecular Optimization Methods and Bias-Reduced Evaluation Methodology
All 192
- Reducing language context confusion for end-to-end code-switching automatic speech recognition
- Carotid artery wall segmentation in ultrasound image sequences using a deep convolutional neural network
- Unsupervised Learning From Incomplete Measurements for Inverse Problems
- Learning Curves for Decision Making in Supervised Machine Learning: A Survey
- Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning
- O-ViT: Orthogonal Vision Transformer
- Leveraging class abstraction for commonsense reinforcement learning via residual policy gradient methods
- Adaptive Optimizer for Automated Hyperparameter Optimization Problem
- DELAUNAY: a dataset of abstract art for psychophysical and machine learning research
- Rethinking Attention-Model Explainability through Faithfulness Violation Test
- HEAT: Hyperedge Attention Networks
- Protum: A New Method For Prompt Tuning Based on "[MASK]"
- Feature Visualization within an Automated Design Assessment leveraging Explainable Artificial Intelligence Methods
- Improving End-to-End Models for Set Prediction in Spoken Language Understanding
- Detecting Owner-member Relationship with Graph Convolution Network in Fisheye Camera System
- Mask-based Latent Reconstruction for Reinforcement Learning
- Leveraging Inlier Correspondences Proportion for Point Cloud Registration
- PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings
- Linear Adversarial Concept Erasure
- Approximate Bayesian Computation with Domain Expert in the Loop
- Label uncertainty-guided multi-stream model for disease screening
- On feedforward control using physics-guided neural networks: Training cost regularization and optimized initialization
- Psychophysical Evaluation of Human Performance in Detecting Digital Face Image Manipulations
- DynaMixer: A Vision MLP Architecture with Dynamic Mixing
- Interplay between depth of neural networks and locality of target functions
- You Only Cut Once: Boosting Data Augmentation with a Single Cut
- Multiscale Graph Comparison via the Embedded Laplacian Discrepancy
- Learning Summary Statistics for Bayesian Inference with Autoencoders
- Automated Feature Extraction on AsMap for Emotion Classification using EEG
- Improved Overparametrization Bounds for Global Convergence of Stochastic Gradient Descent for Shallow Neural Networks
- Detection of fake faces in videos
- The FreshPRINCE: A Simple Transformation Based Pipeline Time Series Classifier
- Exploring Object-Aware Attention Guided Frame Association for RGB-D SLAM
- Generative GaitNet
- Rapid protein assignments and structures from raw NMR spectra with the deep learning technique ARTINA
- A DNN Based Post-Filter to Enhance the Quality of Coded Speech in MDCT Domain
- Neural Approximation of Graph Topological Features
- Puppeteer: A Random Forest-based Manager for Hardware Prefetchers across the Memory Hierarchy
- Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning
- A Robust and Flexible EM Algorithm for Mixtures of Elliptical Distributions with Missing Data
- Transfer Learning In Differential Privacy's Hybrid-Model
- Unfolding a blurred image
- Improving Expert Predictions with Conformal Prediction
- BCDAG: An R package for Bayesian structure and Causal learning of Gaussian DAGs
- Dual Learning Music Composition and Dance Choreography
- Image Superresolution using Scale-Recurrent Dense Network
- Deep Networks for Image and Video Super-Resolution
- Hybrid Contrastive Learning with Cluster Ensemble for Unsupervised Person Re-identification
- FCMNet: Full Communication Memory Net for Team-Level Cooperation in Multi-Agent Systems
- Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A Large-Scale Generative Language Model
- Existence and Estimation of Critical Batch Size for Training Generative Adversarial Networks with Two Time-Scale Update Rule
- Computer-aided Recognition and Assessment of a Porous Bioelastomer on Ultrasound Images for Regenerative Medicine Applications
- Gradient Masked Averaging for Federated Learning
- Differential Privacy Guarantees for Stochastic Gradient Langevin Dynamics
- Learning to Simulate Unseen Physical Systems with Graph Neural Networks
- Generalized Visual Quality Assessment of GAN-Generated Face Images
- Approximately Equivariant Networks for Imperfectly Symmetric Dynamics
- Training invariances and the low-rank phenomenon: beyond linear networks
- Pseudo-Differential Neural Operator: Generalized Fourier Neural Operator for Learning Solution Operators of Partial Differential Equations
- Provably Efficient Primal-Dual Reinforcement Learning for CMDPs with Non-stationary Objectives and Constraints
- Dynamic Temporal Reconciliation by Reinforcement learning
- Shuffle Augmentation of Features from Unlabeled Data for Unsupervised Domain Adaptation
- Sharp Threshold for the Frechet Mean (or Median) of Inhomogeneous Erdos-Renyi Random Graphs
- Time-Series Anomaly Detection with Implicit Neural Representation
- Higher Order Correlation Analysis for Multi-View Learning
- Learning Proximal Operators to Discover Multiple Optima
- DICP: Doppler Iterative Closest Point Algorithm
- Unifying Pairwise Interactions in Complex Dynamics
- Wassersplines for Neural Vector Field--Controlled Animation
- With Greater Distance Comes Worse Performance: On the Perspective of Layer Utilization and Model Generalization
- Stereo Matching with Cost Volume based Sparse Disparity Propagation
- Consistent Collaborative Filtering via Tensor Decomposition
- A Secure and Efficient Federated Learning Framework for NLP
- Deep Generative Model for Periodic Graphs
- Fast Interpretable Greedy-Tree Sums
- Constrained Variational Policy Optimization for Safe Reinforcement Learning
- Simplifying deflation for non-convex optimization with applications in Bayesian inference and topology optimization
- Adaptive Best-of-Both-Worlds Algorithm for Heavy-Tailed Multi-Armed Bandits
- Task-Aware Network Coding Over Butterfly Network
- The fine line between dead neurons and sparsity in binarized spiking neural networks
- Geometric instability of out of distribution data across autoencoder architecture
- Indicative Image Retrieval: Turning Blackbox Learning into Grey
- "That's so cute!": The CARE Dataset for Affective Response Detection
- Boosting Entity Mention Detection for Targetted Twitter Streams with Global Contextual Embeddings
- Regionalized Optimization
- Local Latent Space Bayesian Optimization over Structured Inputs
- Infrastructure-Based Object Detection and Tracking for Cooperative Driving Automation: A Survey
- Multiple-Source Domain Adaptation via Coordinated Domain Encoders and Paired Classifiers
- Neural-FST Class Language Model for End-to-End Speech Recognition
- Calibrating Histopathology Image Classifiers using Label Smoothing
- FedLite: A Scalable Approach for Federated Learning on Resource-constrained Clients
- Classification of White Blood Cell Leukemia with Low Number of Interpretable and Explainable Features