Papers
Fri 27 May 2022
212 papers
- NeuPSL: Neural Probabilistic Soft LogicLLM reasoning → Reasoning benchmarks and evaluation
- Contrastive Learning Rivals Masked Image Modeling in Fine-tuning via Feature DistillationKnowledge distillation → General knowledge distillation methods
- A Blessing of Dimensionality in Membership Inference through RegularizationLLM safety and security → Membership inference attacks
- Geometer: Graph Few-Shot Class-Incremental Learning via Prototype RepresentationKnowledge distillation → Graph neural network distillation
- Iso-Dream: Isolating and Leveraging Noncontrollable Visual Dynamics in World ModelsWorld models → Latent dynamics models and model-based RL
- Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object InteractionsLLM reasoning → Multimodal reasoning
- kNN-Prompt: Nearest Neighbor Zero-Shot InferenceRetrieval-augmented generation → Generation and context integration
- Effective Abstract Reasoning with Dual-Contrast NetworkLLM reasoning → Multimodal reasoning
- Why So Pessimistic? Estimating Uncertainties for Offline RL through Ensembles, and Why Their Independence MattersOffline RL and imitation learning from data → Offline RL algorithms
- Maximum Likelihood Training of Implicit Nonlinear Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Multi-modal Protein Knowledge Graph Construction and Applications
- On Fuzzy Cardinal Semantic Transformations
- LiVeR: Lightweight Vehicle Detection and Classification in Real-Time
- TURJUMAN: A Public Toolkit for Neural Arabic Machine Translation
- Characterization of 3D Printers and X-Ray Computerized Tomography
- Calibrated Bagging Deep Learning for Image Semantic Segmentation: A Case Study on COVID-19 Chest X-ray Image
- Painful intelligence: What AI can tell us about human suffering
- A Design Space for Explainable Ranking and Ranking Models
- A Combination of Deep Neural Networks and K-Nearest Neighbors for Credit Card Fraud Detection
- Gene selection from microarray expression data: A Multi-objective PSO with adaptive K-nearest neighborhood
- A reconfigurable integrated electronic tongue and its use in accelerated analysis of juices and wines
- Image Keypoint Matching using Graph Neural Networks
- Towards Communication-Learning Trade-off for Federated Learning at the Network Edge
- Personalized PageRank Graph Attention Networks
- On the Symmetries of Deep Learning Models and their Internal Representations
- Self-supervised models of audio effectively explain human cortical responses to speech
- Experience report of physics-informed neural networks in fluid simulations: pitfalls and frustration
- Defending Against Stealthy Backdoor Attacks
- Deterministic Langevin Monte Carlo with Normalizing Flows for Bayesian Inference
- Provably Sample-Efficient RL with Side Information about Latent Dynamics
- FedControl: When Control Theory Meets Federated Learning
- Competitive Gradient Optimization
- Semi-supervised Semantics-guided Adversarial Training for Trajectory Prediction
- Learning to Find Proofs and Theorems by Learning to Refine Search Strategies: The Case of Loop Invariant Synthesis
- Sparse Conditional Hidden Markov Model for Weakly Supervised Named Entity Recognition
- Fast and Light-Weight Answer Text Retrieval in Dialogue Systems
- Will Bilevel Optimizers Benefit from Loops
- Selective Inference for Sparse Multitask Regression with Applications in Neuroimaging
- Controllable Text Generation with Neurally-Decomposed Oracle
- Diffusion-LM Improves Controllable Text Generation
- Exemplar Free Class Agnostic Counting
- KL-Entropy-Regularized RL with a Generative Model is Minimax Optimal
- MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers
- StarGraph: Knowledge Representation Learning based on Incomplete Two-hop Subgraph
- Targeted Adaptive Design
- ALMA: Hierarchical Learning for Composite Multi-Agent Tasks
- Multimodal Masked Autoencoders Learn Transferable Representations
- Robust Phi-Divergence MDPs
- Generalized Reductions: Making any Hierarchical Clustering Fair and Balanced with Low Cost
- FadMan: Federated Anomaly Detection across Multiple Attributed Networks
- Unsupervised learning of features and object boundaries from local prediction
- Constrained Langevin Algorithms with L-mixing External Random Variables
- Optimizing Objective Functions from Trained ReLU Neural Networks via Sampling
- Who is we? Disambiguating the referents of first person plural pronouns in parliamentary debates
- Multiscale Voxel Based Decoding For Enhanced Natural Image Reconstruction From Brain Activity
- Private and Byzantine-Proof Cooperative Decision-Making
- Momentum Stiefel Optimizer, with Applications to Suitably-Orthogonal Attention, and Optimal Transport
- FlowNet-PET: Unsupervised Learning to Perform Respiratory Motion Correction in PET Imaging
- CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior
- PSL is Dead. Long Live PSL
- FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness
- Meta-Learning Adversarial Bandits
- Cycle Mutation: Evolving Permutations via Cycle Induction
- Neural Basis Models for Interpretability
- Don't Explain Noise: Robust Counterfactuals for Randomized Ensembles
- Improving Road Segmentation in Challenging Domains Using Similar Place Priors
- Bayesian Robust Graph Contrastive Learning
- Scalable Interpretability via Polynomials
- Spartan: Differentiable Sparsity via Regularized Transportation
- Learning to Solve Combinatorial Graph Partitioning Problems via Efficient Exploration
- Efficient Forecasting of Large Scale Hierarchical Time Series via Multilevel Clustering
- Group-level Brain Decoding with Deep Learning
- GIT: A Generative Image-to-text Transformer for Vision and Language
- Solving infinite-horizon POMDPs with memoryless stochastic policies in state-action space
- Failure Detection in Medical Image Classification: A Reality Check and Benchmarking Testbed
- Capturing Graphs with Hypo-Elliptic Diffusions
- Surrogate modeling for Bayesian optimization beyond a single Gaussian process
- OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving
- Patching Leaks in the Charformer for Efficient Character-Level Generation
- UAlberta at SemEval 2022 Task 2: Leveraging Glosses and Translations for Multilingual Idiomaticity Detection
- Sharpness-Aware Training for Free
- AANG: Automating Auxiliary Learning
- Multi-criteria Decision-making of Intelligent Vehicles under Fault Condition Enhancing Public-private Partnership
- Deep Coding Patterns Design for Compressive Near-Infrared Spectral Classification
- Finite mixture of skewed sub-Gaussian stable distributions
- Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos
- Image Harmonization with Region-wise Contrastive Learning
- Dual Convexified Convolutional Neural Networks
- Contrastive Siamese Network for Semi-supervised Speech Recognition
- Fine-tuning deep learning models for stereo matching using results from semi-global matching
- Average Adjusted Association: Efficient Estimation with High Dimensional Confounders
- Double Deep Q Networks for Sensor Management in Space Situational Awareness
- Group-invariant max filtering
- StereoKG: Data-Driven Knowledge Graph Construction for Cultural Knowledge and Stereotypes
- Learning to Control Linear Systems can be Hard
- Ontology Design Facilitating Wikibase Integration -- and a Worked Example for Historical Data
- Lesion classification by model-based feature extraction: A differential affine invariant model of soft tissue elasticity
- Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces
- Inference and Sampling for Archimax Copulas
- Future Transformer for Long-term Action Anticipation
All 212
- What Dense Graph Do You Need for Self-Attention?
- Prototype Based Classification from Hierarchy to Fairness
- Video2StyleGAN: Disentangling Local and Global Variations in a Video
- Deep Ensembles for Graphs with Higher-order Dependencies
- Counterfactual Fairness with Partially Known Causal Graph
- Exploring Techniques for the Analysis of Spontaneous Asynchronicity in MPI-Parallel Applications
- Punctuation Restoration in Spanish Customer Support Transcripts using Transfer Learning
- Machine Learning-Based User Scheduling in Integrated Satellite-HAPS-Ground Networks
- Cycle Label-Consistent Networks for Unsupervised Domain Adaptation
- Guided Exploration of Data Summaries
- Non-Markovian policies occupancy measures
- Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge Transfer
- Deep Reinforcement Learning for Distributed and Uncoordinated Cognitive Radios Resource Allocation
- Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN
- Auditing Differential Privacy in High Dimensions with the Kernel Quantum R'enyi Divergence
- Deep face recognition with clustering based domain adaptation
- Detecting hidden confounding in observational data using multiple environments
- Standalone Neural ODEs with Sensitivity Analysis
- Fairness and Welfare Quantification for Regret in Multi-Armed Bandits
- Commonsense and Named Entity Aware Knowledge Grounded Dialogue Generation
- Probabilistic Transformer: Modelling Ambiguities and Distributions for RNA Folding and Molecule Design
- DELTA: Diverse Client Sampling for Fasting Federated Learning
- Lifting the Information Ratio: An Information-Theoretic Analysis of Thompson Sampling for Contextual Bandits
- CREAM: Weakly Supervised Object Localization via Class RE-Activation Mapping
- Federated Semi-Supervised Learning with Prototypical Networks
- Fast Causal Orientation Learning in Directed Acyclic Graphs
- 3DILG: Irregular Latent Grids for 3D Generative Modeling
- Dynamic Domain Generalization
- A gradient estimator via L1-randomization for online zero-order optimization with two point feedback
- (De-)Randomized Smoothing for Decision Stump Ensembles
- EmoInHindi: A Multi-label Emotion and Intensity Annotated Dataset in Hindi for Emotion Recognition in Dialogues
- Sample-Efficient Optimisation with Probabilistic Transformer Surrogates
- Bias Reduction via Cooperative Bargaining in Synthetic Graph Dataset Generation
- How Tempering Fixes Data Augmentation in Bayesian Neural Networks
- EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks
- Transformers from an Optimization Perspective
- Learning to Automate Follow-up Question Generation using Process Knowledge for Depression Triage on Reddit Posts
- Automated Dynamic Algorithm Configuration
- TraClets: Harnessing the power of computer vision for trajectory classification
- MIMII DG: Sound Dataset for Malfunctioning Industrial Machine Investigation and Inspection for Domain Generalization Task
- Comparison of Deep Learning Segmentation and Multigrader-annotated Mandibular Canals of Multicenter CBCT scans
- Probabilistic Systems with Hidden State and Unobservable Transitions
- MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models
- Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power
- Semeval-2022 Task 1: CODWOE -- Comparing Dictionaries and Word Embeddings
- TrackNet: A Triplet metric-based method for Multi-Target Multi-Camera Vehicle Tracking
- Finding Patterns in Visualized Data by Adding Redundant Visual Information
- Textural-Perceptual Joint Learning for No-Reference Super-Resolution Image Quality Assessment
- On the Convergence of Semi-Relaxed Sinkhorn with Marginal Constraint and OT Distance Gaps
- Raising the Bar in Graph-level Anomaly Detection
- Adaptive Random Forests for Energy-Efficient Inference on Microcontrollers
- Feudal Multi-Agent Reinforcement Learning with Adaptive Network Partition for Traffic Signal Control
- Deep Learning Fetal Ultrasound Video Model Match Human Observers in Biometric Measurements
- Improving Bidding and Playing Strategies in the Trick-Taking game Wizard using Deep Q-Networks
- Counterfactual Analysis in Dynamic Latent State Models
- Error Bound of Empirical ℓ2 Risk Minimization for Noisy Standard and Generalized Phase Retrieval Problems
- Multivariate Probabilistic Forecasting of Intraday Electricity Prices using Normalizing Flows
- A Look at Improving Robustness in Visual-inertial SLAM by Moment Matching
- Prune and distill: similar reformatting of image information along rat visual cortex and deep neural networks
- Global Convergence of Over-parameterized Deep Equilibrium Models
- fakeWeather: Adversarial Attacks for Deep Neural Networks Emulating Weather Conditions on the Camera Lens of Autonomous Systems
- X-ViT: High Performance Linear Vision Transformer without Softmax
- End-to-End Learning of Hybrid Inverse Dynamics Models for Precise and Compliant Impedance Control
- Generalization Bounds for Gradient Methods via Discrete and Continuous Prior
- AsyncFedED: Asynchronous Federated Learning with Euclidean Distance based Adaptive Weight Aggregation
- Face Morphing: Fooling a Face Recognition System Is Simple!
- BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework
- A Sea of Words: An In-Depth Analysis of Anchors for Text Data
- Text-Based Automatic Personality Prediction Using KGrAt-Net; A Knowledge Graph Attention Network Classifier
- A Survey on Long-Tailed Visual Recognition
- Classification of COVID-19 Patients with their Severity Level from Chest CT Scans using Transfer Learning
- IGLU 2022: Interactive Grounded Language Understanding in a Collaborative Environment at NeurIPS 2022
- LEAF + AIO: Edge-Assisted Energy-Aware Object Detection for Mobile Augmented Reality
- Semantic-aware Dense Representation Learning for Remote Sensing Image Change Detection
- Block-coordinate Frank-Wolfe algorithm and convergence analysis for semi-relaxed optimal transport problem
- Fully Convolutional One-Stage 3D Object Detection on LiDAR Range Images
- Tutorial on Course-of-Action (COA) Attack Search Methods in Computer Networks
- Tranception: protein fitness prediction with autoregressive transformers and inference-time retrieval
- CIGMO: Categorical invariant representations in a deep generative framework
- Representing Polymers as Periodic Graphs with Learned Descriptors for Accurate Polymer Property Predictions
- NLU for Game-based Learning in Real: Initial Evaluations
- HOUDINI: Escaping from Moderately Constrained Saddles
- Attention Awareness Multiple Instance Neural Network
- Auto-PINN: Understanding and Optimizing Physics-Informed Neural Architecture
- Regularized Gradient Descent Ascent for Two-Player Zero-Sum Markov Games
- DeepSAT: An EDA-Driven Learning Framework for SAT
- Learning Instance Representation Banks for Aerial Scene Classification
- Personalized Algorithmic Recourse with Preference Elicitation
- Generating multivariate time series with COmmon Source CoordInated GAN (COSCI-GAN)
- Subverting machines, fluctuating identities: Re-learning human categorization
- Image Reconstruction of Multi Branch Feature Multiplexing Fusion Network with Mixed Multi-layer Attention
- Towards Faithful and Consistent Explanations for Graph Neural Networks
- Understanding Long Programming Languages with Structure-Aware Sparse Attention
- GALOIS: Boosting Deep Reinforcement Learning via Generalizable Logic Synthesis
- V-Doc : Visual questions answers with Documents
- DLTTA: Dynamic Learning Rate for Test-time Adaptation on Cross-domain Medical Images
- Can Foundation Models Help Us Achieve Perfect Secrecy?
- Off-Beat Multi-Agent Reinforcement Learning
- Hazard Gradient Penalty for Survival Analysis
- PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences
- Incorporating the Barzilai-Borwein Adaptive Step Size into Sugradient Methods for Deep Network Training
- Privacy of Noisy Stochastic Gradient Descent: More Iterations without More Privacy Loss
- DP-PCA: Statistically Optimal and Differentially Private PCA
- HiJoNLP at SemEval-2022 Task 2: Detecting Idiomaticity of Multiword Expressions using Multilingual Pretrained Language Models
- ES-GNN: Generalizing Graph Neural Networks Beyond Homophily with Edge Splitting
- Characterizing the robustness of Bayesian adaptive experimental designs to active learning bias
- FedFormer: Contextual Federation with Attention in Reinforcement Learning
- FedAvg with Fine Tuning: Local Updates Lead to Representation Learning
- Safety Aware Changepoint Detection for Piecewise i.i.d. Bandits
- Statistical Inference of Constrained Stochastic Optimization via Sketched Sequential Quadratic Programming
- Learning with Stochastic Orders
- ANISE: Assembly-based Neural Implicit Surface rEconstruction