Papers
Sun 25 Sep 2022
74 papers
- Reward Learning using Structural Motifs in Inverse Reinforcement LearningOffline RL and imitation learning from data → Inverse reinforcement learning
- Personalizing Text-to-Image Generation via Aesthetic GradientsDiffusion models → Image generation, text-to-image and editing
- Algorithms that Approximate Data Removal: New Results and LimitationsLLM safety and security → Machine unlearning
- All are Worth Words: A ViT Backbone for Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- AI, Opacity, and Personal Autonomy
- Flattened Graph Convolutional Networks For Recommendation
- Localizing Anatomical Landmarks in Ocular Images using Zoom-In Attentive Networks
- Optimal Efficiency-Envy Trade-Off via Optimal Transport
- Deep learning forward and reverse primer design to detect SARS-CoV-2 emerging variants
- Anomaly Detection in Aerial Videos with Transformers
- Deep Reinforcement Learning for Adaptive Mesh Refinement
- Unsupervised Reward Shaping for a Robotic Sequential Picking Task from Visual Observations in a Logistics Scenario
- Opportunities and Challenges from Using Animal Videos in Reinforcement Learning for Navigation
- Exploring the Constraints on Artificial General Intelligence: A Game-Theoretic No-Go Theorem
- Stochastic Gradient Descent Captures How Children Learn About Physics
- Paraphrasing Is All You Need for Novel Object Captioning
- Solving Seismic Wave Equations on Variable Velocity Models with Fourier Neural Operator
- Generating Formal Safety Assurances for High-Dimensional Reachability
- Temporally Extended Successor Representations
- An Empirical Study on Cross-X Transfer for Legal Judgment Prediction
- Can We Automate the Analysis of Online Child Sexual Exploitation Discourse?
- Weather2vec: Representation Learning for Causal Inference with Non-Local Confounding in Air Pollution and Climate Studies
- Random graph matching at Otter's threshold via counting chandeliers
- Feature Encodings for Gradient Boosting with Automunge
- On the Stability Analysis of Open Federated Learning Systems
- Adnexal Mass Segmentation with Ultrasound Data Synthesis
- Gradient Optimization for Single-State RMDPs
- Social Assistive Robotics for Autistic Children
- On Representing Linear Programs by Graph Neural Networks
- Deep Feature Selection Using a Novel Complementary Feature Mask
- VAESim: A probabilistic approach for self-supervised prototype discovery
- Neural inhibition during speech planning contributes to contrastive hyperarticulation
- Probabilistic Planning with Partially Ordered Preferences over Temporal Goals
- Collaboration of Pre-trained Models Makes Better Few-shot Learner
- From One to Many: Dynamic Cross Attention Networks for LiDAR and Camera Fusion
- A Tightly Coupled LiDAR-IMU Odometry through Iterated Point-Level Undistortion
- D^bf3: Duplicate Detection Decontaminator for Multi-Athlete Tracking in Sports Videos
- Multimodal Channel-Mixing: Channel and Spatial Masked AutoEncoder on Facial Action Unit Detection
- Safety-compliant Generative Adversarial Networks for Human Trajectory Forecasting
- Exploring Example Influence in Continual Learning
- High-Resolution Satellite Imagery for Modeling the Impact of Aridification on Crop Production
- Diachronic Data Analysis Supports and Refines Conceptual Metaphor Theory
- Contour Dice loss for structures with Fuzzy and Complex Boundaries in Fetal MRI
- Re-contextualizing Fairness in NLP: The Case of India
- Hand Hygiene Assessment via Joint Step Segmentation and Key Action Scorer
- Partial annotations for the segmentation of large structures with low annotation cost
- GPatch: Patching Graph Neural Networks for Cold-Start Recommendations
- ECO-TR: Efficient Correspondences Finding Via Coarse-to-Fine Refinement
- Efficient Long Sequential User Data Modeling for Click-Through Rate Prediction
- Transfer learning for self-supervised, blind-spot seismic denoising
- A Uniform Representation Learning Method for OCT-based Fingerprint Presentation Attack Detection and Reconstruction
- Multimodal Exponentially Modified Gaussian Oscillators
- Capacity dependent analysis for functional online learning algorithms
- Employing Deep Ensemble Learning for Improving the Security of Computer Networks against Adversarial Attacks
- Application of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based Technique
- Optimal Transport-based Identity Matching for Identity-invariant Facial Expression Recognition
- Multi-modal Segment Assemblage Network for Ad Video Editing with Importance-Coherence Reward
- Joint Triplet Loss Learning for Next New POI Recommendation
- PL-EVIO: Robust Monocular Event-based Visual Inertial Odometry with Point and Line Features
- Dive into Self-Supervised Learning for Medical Image Analysis: Data, Models and Tasks
- Discriminative feature encoding for intrinsic image decomposition
- WinoDict: Probing language models for in-context word acquisition
- Self-Supervised Masked Convolutional Transformer Block for Anomaly Detection
- Machine Learning and Artificial Intelligence-Driven Multi-Scale Modeling for High Burnup Accident-Tolerant Fuels for Light Water-Based SMR Applications
- Lightweight Image Codec via Multi-Grid Multi-Block-Size Vector Quantization (MGBVQ)
- Towards Stable Co-saliency Detection and Object Co-segmentation
- Vision-based Perimeter Defense via Multiview Pose Estimation
- A Deep Learning Approach to Analyzing Continuous-Time Systems
- SpeedLimit: Neural Architecture Search for Quantized Transformer Models
- BURST: A Benchmark for Unifying Object Recognition, Segmentation and Tracking in Video
- Online Allocation and Learning in the Presence of Strategic Agents
- Answer-Set Programs for Repair Updates and Counterfactual Interventions
- An Asymptotically Optimal Batched Algorithm for the Dueling Bandit Problem
- Valuation of Public Bus Electrification with Open Data