mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 28 Sep 2023

271 papers

  1. Stochastic Digital Twin for Copy Detection PatternsDiffusion models → Diffusion foundations and sampling
  2. Post-Training Overfitting Mitigation in DNN ClassifiersLLM safety and security → Backdoor and data poisoning attacks
  3. SatDM: Synthesizing Realistic Satellite Image with Semantic Layout Conditioning using Diffusion ModelsDiffusion models → Inverse problems and image restoration
  4. Promptbreeder: Self-Referential Self-Improvement Via Prompt EvolutionLLM reasoning → Prompting and chain-of-thought reasoning +1
  5. Memory in Plain Sight: Surveying the Uncanny Resemblances of Associative Memories and Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  6. ELIP: Efficient Discriminative Language-Image Pre-training with Fewer Vision TokensEfficient LLM inference and serving → Visual token pruning in multimodal models
  7. Robust Offline Reinforcement Learning -- Certify the Confidence IntervalOffline RL and imitation learning from data → Offline RL algorithms
  8. Stress Testing Chain-of-Thought Prompting for Large Language ModelsLLM reasoning → Prompting and chain-of-thought reasoning
  9. Semantic Scene Difference Detection in Daily Life Patroling by Mobile Robots using Pre-Trained Large-Scale Vision-Language ModelMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  10. MotionLM: Multi-Agent Motion Forecasting as Language ModelingLLM agents and tool use → Multimodal and embodied agents
  11. CCEdit: Creative and Controllable Video Editing via Diffusion ModelsDiffusion models → Video generation
  12. Towards Poisoning Fair RepresentationsLLM safety and security → Backdoor and data poisoning attacks
  13. Neuro Symbolic Reasoning for Planning: Counterexample Guided Inductive Synthesis using Large Language Models and Satisfiability SolvingLLM reasoning → Reasoning benchmarks and evaluation
  14. QwenGrasp: A Usage of Large Vision-Language Model for Target-Oriented GraspingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  15. Cyber Sentinel: Exploring Conversational Agents in Streamlining Security Tasks with GPT-4LLM agents and tool use → Agent threats, guardrails and governance
  16. Distilling ODE Solvers of Diffusion Models into Smaller StepsDiffusion models → Diffusion foundations and sampling
  17. AutoCLIP: Auto-tuning Zero-Shot Classifiers for Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  18. Uncertainty-Aware Decision Transformer for Stochastic Driving EnvironmentsEnd-to-end autonomous driving → Reinforcement learning for driving +1
  19. Human Feedback is not Gold StandardLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  20. DeepPCR: Parallelizing Sequential Operations in Neural NetworksDiffusion models → Diffusion foundations and sampling
  21. CasIL: Cognizing and Imitating Skills via a Dual Cognition-Action ArchitectureOffline RL and imitation learning from data → Robot manipulation imitation learning
  22. At Which Training Stage Does Code Data Help LLMs Reasoning?LLM reasoning → Reasoning benchmarks and evaluation
  23. DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language ModelsEnd-to-end autonomous driving → Large language models for driving
  24. Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence ConstraintsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  25. VDC: Versatile Data Cleanser based on Visual-Linguistic Inconsistency by Multimodal Large Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  26. Generative AI Enables Structural Brain Network Construction from fMRI via Symmetric Diffusion LearningDiffusion models → Medical imaging and segmentation
  27. Stackelberg Batch Policy LearningOffline RL and imitation learning from data → Offline RL algorithms
  28. LAE-ST-MoE: Boosted Language-Aware Encoder Using Speech Translation Auxiliary Task for E2E Code-switching ASRMixture-of-experts → Multimodal MoE models
  29. Distill to Delete: Unlearning in Graph Networks with Knowledge DistillationLLM safety and security → Graph unlearning +1
  30. The Trickle-down Impact of Reward (In-)consistency on RLHFLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  31. Compositional Sculpting of Iterative Generative ProcessesDiffusion models → Diffusion foundations and sampling
  32. TPE: Towards Better Compositional Reasoning over Conceptual Tools with Multi-persona CollaborationLLM reasoning → Reasoning benchmarks and evaluation
  33. Bayesian Cram'er-Rao Bound Estimation with Score-Based ModelsDiffusion models → Diffusion foundations and sampling
  34. Infer and Adapt: Bipedal Locomotion Reward Learning from Demonstrations via Inverse Reinforcement LearningOffline RL and imitation learning from data → Real-world robot offline RL
  35. EWasteNet: A Two-Stream Data Efficient Image Transformer Approach for E-Waste Classification
  36. Large Language Models in Finance: A Survey
  37. Simulation-based Safety Assurance for an AVP System incorporating Learning-Enabled Components
  38. AI Potentiality and Awareness: A Position Paper from the Perspective of Human-AI Teaming in Cybersecurity
  39. Automatic Identification of Stone-Handling Behaviour in Japanese Macaques Using LabGym Artificial Intelligence
  40. Deep Learning based Systems for Crater Detection: A Review
  41. Design of JiuTian Intelligent Network Simulation Platform
  42. Automated Chest X-Ray Report Generator Using Multi-Model Deep Learning Approach
  43. Optimizing Multicarrier Multiantenna Systems for LoS Channel Charting
  44. Context-Based Tweet Engagement Prediction
  45. Chatmap : Large Language Model Interaction with Cartographic Data
  46. Attention Sorting Combats Recency Bias In Long Context Language Models
  47. De-SaTE: Denoising Self-attention Transformer Encoders for Li-ion Battery Health Prognostics
  48. CtxMIM: Context-Enhanced Masked Image Modeling for Remote Sensing Image Understanding
  49. 3D-Mol: A Novel Contrastive Learning Framework for Molecular Property Prediction with 3D Information
  50. On the Contractivity of Plug-and-Play Operators
  51. A Sign Language Recognition System with Pepper, Lightweight-Transformer, and LLM
  52. Algorithmic Recourse in Abnormal Multivariate Time Series
  53. Superpixel Transformers for Efficient Semantic Segmentation
  54. Beyond Gut Feel: Using Time Series Transformers to Find Investment Gems
  55. The Lipschitz-Variance-Margin Tradeoff for Enhanced Randomized Smoothing
  56. Message Propagation Through Time: An Algorithm for Sequence Dependency Retention in Time Series Modeling
  57. Investigating Human-Identifiable Features Hidden in Adversarial Perturbations
  58. LEF: Late-to-Early Temporal Fusion for LiDAR 3D Object Detection
  59. Preface: A Data-driven Volumetric Prior for Few-shot Ultra High-resolution Face Synthesis
  60. Improved Generalization Bounds for Transductive Learning by Transductive Local Complexity and Its Applications
  61. Applications of Federated Learning in IoT for Hyper Personalisation
  62. Sketch2CAD: 3D CAD Model Reconstruction from 2D Sketch using Visual Transformer
  63. Space-Time Attention with Shifted Non-Local Search
  64. Optimal Nonlinearities Improve Generalization Performance of Random Features
  65. DeBERTinha: A Multistep Approach to Adapt DebertaV3 XSmall for Brazilian Portuguese Natural Language Processing Task
  66. A Mean Field Approach to Empirical Bayes Estimation in High-dimensional Linear Regression
  67. Constant Approximation for Individual Preference Stable Clustering
  68. Propagation and Attribution of Uncertainty in Medical Imaging Pipelines
  69. An analysis of the derivative-free loss method for solving PDEs
  70. A Comprehensive View of Personalized Federated Learning on Heterogeneous Clinical Datasets
  71. Multi-Bellman operator for convergence of Q-learning with linear function approximation
  72. MEM: Multi-Modal Elevation Mapping for Robotics and Learning
  73. PROSE: Predicting Operators and Symbolic Expressions using Multimodal Transformers
  74. GraB-sampler: Optimal Permutation-based SGD Data Sampler for PyTorch
  75. Granularity at Scale: Estimating Neighborhood Socioeconomic Indicators from High-Resolution Orthographic Imagery and Hybrid Learning
  76. Curriculum-Driven Edubot: A Framework for Developing Language Learning Chatbots Through Synthesizing Conversational Data
  77. Ultra-low-power Image Classification on Neuromorphic Hardware
  78. Photonic Accelerators for Image Segmentation in Autonomous Driving and Defect Detection
  79. Surgical Tattoos in Infrared: A Dataset for Quantifying Tissue Tracking and Mapping
  80. Hallucination Reduction in Long Input Text Summarization
  81. Intriguing properties of generative classifiers
  82. How many words does ChatGPT know? The answer is ChatWords
  83. Neural scaling laws for phenotypic drug discovery
  84. XVO: Generalized Visual Odometry via Cross-Modal Self-Training
  85. Persona-Coded Poly-Encoder: Persona-Guided Multi-Stream Conversational Sentence Scoring
  86. Discovering environments with XRM
  87. Harnessing Diverse Data for Global Disaster Prediction: A Multimodal Framework
  88. Implicit Gaussian process representation of vector fields over arbitrary latent manifolds
  89. Efficient Training of One Class Classification-SVMs
  90. Predicting Long-term Renal Impairment in Post-COVID-19 Patients with Machine Learning Algorithms
  91. High Throughput Training of Deep Surrogates from Large Ensemble Runs
  92. Supervised Learning Models for Early Detection of Albuminuria Risk in Type-2 Diabetes Mellitus Patients
  93. Multi-Modal Financial Time-Series Retrieval Through Latent Space Projections
  94. Pushing Large Language Models to the 6G Edge: Vision, Challenges, and Opportunities
  95. Learning to Transform for Generalizable Instance-wise Invariance
  96. Demystifying CLIP Data
  97. Decaf: Monocular Deformation Capture for Face and Hand Interactions
  98. Training a Large Video Model on a Single Machine in a Day
  99. RealFill: Reference-Driven Generation for Authentic Image Completion
  100. HyperPPO: A scalable method for finding small policies for robotic control
All 271
  1. Geodesic Regression Characterizes 3D Shape Changes in the Female Brain During Menstruation
  2. SA2-Net: Scale-aware Attention Network for Microscopic Image Segmentation
  3. Visual In-Context Learning for Few-Shot Eczema Segmentation
  4. Novel Deep Learning Pipeline for Automatic Weapon Detection
  5. DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content Creation
  6. ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning
  7. FLIP: Cross-domain Face Anti-spoofing with Language Guidance
  8. Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors
  9. Reusability report: Prostate cancer stratification with diverse biologically-informed neural architectures
  10. Deep Geometrized Cartoon Line Inbetweening
  11. MindShift: Leveraging Large Language Models for Mental-States-Based Problematic Smartphone Use Intervention
  12. End-to-End (Instance)-Image Goal Navigation through Correspondence as an Emergent Phenomenon
  13. SupReMix: Supervised Contrastive Learning for Medical Imaging Regression with Mixup
  14. On Learning with LAD
  15. Class Activation Map-based Weakly supervised Hemorrhage Segmentation using Resnet-LSTM in Non-Contrast Computed Tomography images
  16. Depthwise Hyperparameter Transfer in Residual Networks: Dynamics and Scaling Limit
  17. Revisiting Neural Program Smoothing for Fuzzing
  18. Qwen Technical Report
  19. KV Inversion: KV Embeddings Learning for Text-Conditioned Real Image Action Editing
  20. "AI enhances our performance, I have no doubt this one will do the same": The Placebo effect is robust to negative descriptions of AI
  21. Exploiting Edge Features in Graphs with Fused Network Gromov-Wasserstein Distance
  22. Deep Learning Based Uplink Multi-User SIMO Beamforming Design
  23. Unlikelihood Tuning on Negative Samples Amazingly Improves Zero-Shot Translation
  24. Cross-Prediction-Powered Inference
  25. Transfer Learning for Bayesian Optimization on Heterogeneous Search Spaces
  26. Can LLMs Effectively Leverage Graph Structural Information through Prompts, and Why?
  27. Navigating Healthcare Insights: A Birds Eye View of Explainability with Knowledge Graphs
  28. Tensor Factorization for Leveraging Cross-Modal Knowledge in Data-Constrained Infrared Object Detection
  29. Vision Transformers Need Registers
  30. Text-to-3D using Gaussian Splatting
  31. Collaborative Distributed Machine Learning
  32. GPT-Fathom: Benchmarking Large Language Models to Decipher the Evolutionary Path towards GPT-4 and Beyond
  33. Overcoming the Barrier of Orbital-Free Density Functional Theory for Molecular Systems Using Deep Learning
  34. A Benchmark for Learning to Translate a New Language from One Grammar Book
  35. Language Models as a Service: Overview of a New Paradigm and its Challenges
  36. Review of Machine Learning Methods for Additive Manufacturing of Functionally Graded Materials
  37. Audio-Visual Speaker Verification via Joint Cross-Attention
  38. Augment to Interpret: Unsupervised and Inherently Interpretable Graph Embeddings
  39. CRIMED: Lower and Upper Bounds on Regret for Bandits with Unbounded Stochastic Corruption
  40. Voting Network for Contour Levee Farmland Segmentation and Classification
  41. MatrixCity: A Large-scale City Dataset for City-scale Neural Rendering and Beyond
  42. Correcting for heterogeneity in real-time epidemiological indicators
  43. Unsupervised Pretraining for Fact Verification by Language Model Distillation
  44. Uncertainty Quantification for Eosinophil Segmentation
  45. KLoB: a Benchmark for Assessing Knowledge Locating Methods in Language Models
  46. HOI4ABOT: Human-Object Interaction Anticipation for Human Intention Reading Collaborative roBOTs
  47. Generating Personalized Insulin Treatments Strategies with Deep Conditional Generative Time Series Models
  48. AtomSurf : Surface Representation for Learning on Protein Structures
  49. Latent Noise Segmentation: How Neural Noise Leads to the Emergence of Segmentation and Grouping
  50. From Complexity to Clarity: Analytical Expressions of Deep Neural Network Weights via Clifford's Geometric Algebra and Convexity
  51. Toloka Visual Question Answering Benchmark
  52. Deep Single Models vs. Ensembles: Insights for a Fast Deployment of Parking Monitoring Systems
  53. Accurate and lightweight dehazing via multi-receptive-field non-local network and novel contrastive regularization
  54. Asset Bundling for Wind Power Forecasting
  55. HTC-DC Net: Monocular Height Estimation from Single Remote Sensing Images
  56. Rethinking Domain Generalization: Discriminability and Generalizability
  57. High-dimensional robust regression under heavy-tailed data: Asymptotics and Universality
  58. Compositional Program Generation for Few-Shot Systematic Generalization
  59. A Metaheuristic for Amortized Search in High-Dimensional Parameter Spaces
  60. Diverse Target and Contribution Scheduling for Domain Generalization
  61. Augmenting LLMs with Knowledge: A survey on hallucination prevention
  62. SI-SD: Sleep Interpreter through awake-guided cross-subject Semantic Decoding
  63. Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective
  64. On the Trade-offs between Adversarial Robustness and Actionable Explanations
  65. Towards Novel Class Discovery: A Study in Novel Skin Lesions Clustering
  66. A parsimonious, computationally efficient machine learning method for spatial regression
  67. Radar Instance Transformer: Reliable Moving Instance Segmentation in Sparse Radar Point Clouds
  68. Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation
  69. Nonlinear MPC design for incrementally ISS systems with application to GRU networks
  70. Prompt-and-Align: Prompt-Based Social Alignment for Few-Shot Fake News Detection
  71. Genetic Engineering Algorithm (GEA): An Efficient Metaheuristic Algorithm for Solving Combinatorial Optimization Problems
  72. Selective Nonparametric Regression via Testing
  73. Constructing Synthetic Treatment Groups without the Mean Exchangeability Assumption
  74. VAE-based latent-space classification of RNO-G data
  75. Physics-Preserving AI-Accelerated Simulations of Plasma Turbulence
  76. Recent Advances of Differential Privacy in Centralized Deep Learning: A Systematic Survey
  77. A Comprehensive Survey of Document-level Relation Extraction (2016-2023)
  78. HIC-YOLOv5: Improved YOLOv5 For Small Object Detection
  79. 2-Cats: 2D Copula Approximating Transforms
  80. An Enhanced Low-Resolution Image Recognition Method for Traffic Environments
  81. Exposing Image Splicing Traces in Scientific Publications via Uncertainty-guided Refinement
  82. Multi-Swap k-Means++
  83. RLLTE: Long-Term Evolution Project of Reinforcement Learning
  84. Conditional normalizing flows for IceCube event reconstruction
  85. A Comprehensive Review on Tree Detection Methods Using Point Cloud and Aerial Imagery from Unmanned Aerial Vehicles
  86. MHG-GNN: Combination of Molecular Hypergraph Grammar with Graph Neural Network
  87. Bringing the Discussion of Minima Sharpness to the Audio Domain: a Filter-Normalised Evaluation for Acoustic Scene Classification
  88. FG-NeRF: Flow-GAN based Probabilistic Neural Radiance Field for Independence-Assumption-Free Uncertainty Estimation
  89. Leveraging Pre-trained Language Models for Time Interval Prediction in Text-Enhanced Temporal Knowledge Graphs
  90. Transformer-VQ: Linear-Time Transformers via Vector Quantization
  91. ShapeDBA: Generating Effective Time Series Prototypes using ShapeDTW Barycenter Averaging
  92. Dark Side Augmentation: Generating Diverse Night Examples for Metric Learning
  93. Intrinsic Language-Guided Exploration for Complex Long-Horizon Robotic Manipulation Tasks
  94. Epistemic Logic Programs: a study of some properties
  95. LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
  96. Anti-Matthew FL: Bridging the Performance Gap in Federated Learning to Counteract the Matthew Effect
  97. Logarithm-transform aided Gaussian Sampling for Few-Shot Learning
  98. End-to-end Risk Prediction of Atrial Fibrillation from the 12-Lead ECG by Deep Neural Networks
  99. Augmenting Transformers with Recursively Composed Multi-grained Representations
  100. Astroconformer: The Prospects of Analyzing Stellar Light Curves with Transformer-Based Deep Learning Models
  101. A Primer on Bayesian Neural Networks: Review and Debates
  102. Weakly-Supervised Video Anomaly Detection with Snippet Anomalous Attention
  103. Can the Query-based Object Detector Be Designed with Fewer Stages?
  104. Gated Cross-Attention Network for Depth Completion
  105. Efficiency Separation between RL Methods: Model-Free, Model-Based and Goal-Conditioned
  106. LawBench: Benchmarking Legal Knowledge of Large Language Models
  107. Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning
  108. Self-supervised Cross-view Representation Reconstruction for Change Captioning
  109. UPB @ ACTI: Detecting Conspiracies using fine tuned Sentence Transformers
  110. A framework for paired-sample hypothesis testing for high-dimensional data
  111. Social Media Fashion Knowledge Extraction as Captioning
  112. Hierarchical Network Data Analytics Framework for B5G Network Automation: Design and Implementation
  113. GAMMA: Generalizable Articulation Modeling and Manipulation for Articulated Objects
  114. Cooperation Dynamics in Multi-Agent Systems: Exploring Game-Theoretic Scenarios with Mean-Field Equilibria
  115. QonFusion -- Quantum Approaches to Gaussian Random Variables: Applications in Stable Diffusion and Brownian Motion
  116. Nondestructive chicken egg fertility detection using CNN-transfer learning algorithms
  117. On the Challenges of Fully Incremental Neural Dependency Parsing
  118. FORB: A Flat Object Retrieval Benchmark for Universal Image Embedding
  119. Spider4SPARQL: A Complex Benchmark for Evaluating Knowledge Graph Question Answering Systems
  120. Object Motion Guided Human Motion Synthesis
  121. Language models in molecular discovery
  122. Analyzing Political Figures in Real-Time: Leveraging YouTube Metadata for Sentiment Analysis
  123. Controllable Text Generation with Residual Memory Transformer
  124. Brand Network Booster: A new system for improving brand connectivity
  125. GInX-Eval: Towards In-Distribution Evaluation of Graph Neural Network Explanations
  126. Off-the-shelf bin picking workcell with visual pose estimation: A case study on the world robot summit 2018 kitting task
  127. Unmasking the Chameleons: A Benchmark for Out-of-Distribution Detection in Medical Tabular Data
  128. GAFlow: Incorporating Gaussian Attention into Optical Flow
  129. Abdominal multi-organ segmentation in CT using Swinunter
  130. Low-rank tensor completion via tensor joint rank with logarithmic composite norm
  131. Parameter-Saving Adversarial Training: Reinforcing Multi-Perturbation Robustness via Hypernetworks
  132. Alzheimer's Disease Prediction via Brain Structural-Functional Deep Fusing Network
  133. Marathi-English Code-mixed Text Generation
  134. Max-Sliced Mutual Information
  135. Cloth2Body: Generating 3D Human Body Mesh from 2D Clothing
  136. A More General Theory of Diagnosis from First Principles
  137. BEVHeight++: Toward Robust Visual Centric 3D Object Detection
  138. Navigating the Noise: Bringing Clarity to ML Parameterization Design with O(100) Ensembles
  139. Using Weak Supervision and Data Augmentation in Question Answering
  140. Large Language Model Soft Ideologization via AI-Self-Consciousness
  141. CoinRun: Solving Goal Misgeneralisation
  142. Learning to Terminate in Object Navigation
  143. Leveraging Untrustworthy Commands for Multi-Robot Coordination in Unpredictable Environments: A Bandit Submodular Maximization Approach
  144. AE-GPT: Using Large Language Models to Extract Adverse Events from Surveillance Reports-A Use Case with Influenza Vaccine Adverse Events
  145. OSM-Net: One-to-Many One-shot Talking Head Generation with Spontaneous Head Motions
  146. T-COL: Generating Counterfactual Explanations for General User Preferences on Variable Machine Learning Systems
  147. The Confidence-Competence Gap in Large Language Models: A Cognitive Study
  148. Generative Semi-supervised Learning with Meta-Optimized Synthetic Samples
  149. Align before Search: Aligning Ads Image to Text for Accurate Cross-Modal Sponsored Search
  150. CLIP-Hand3D: Exploiting 3D Hand Pose Estimation via Context-Aware Prompting
  151. Two-Step Active Learning for Instance Segmentation with Uncertainty and Diversity Sampling
  152. Context-I2W: Mapping Images to Context-dependent Words for Accurate Zero-Shot Composed Image Retrieval
  153. A dual-branch model with inter- and intra-branch contrastive loss for long-tailed recognition
  154. Mask4Former: Mask Transformer for 4D Panoptic Segmentation
  155. A Spectral Approach for Learning Spatiotemporal Neural Differential Equations
  156. Joint Correcting and Refinement for Balanced Low-Light Image Enhancement
  157. Open Compound Domain Adaptation with Object Style Compensation for Semantic Segmentation
  158. UVL2: A Unified Framework for Video Tampering Localization
  159. ModuLoRA: Finetuning 2-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers
  160. D3Fields: Dynamic 3D Descriptor Fields for Zero-Shot Generalizable Rearrangement
  161. Low-redundancy Distillation for Continual Learning
  162. Comparing Active Learning Performance Driven by Gaussian Processes or Bayesian Neural Networks for Constrained Trajectory Exploration
  163. Learning Effective NeRFs and SDFs Representations with 3D Generative Adversarial Networks for 3D Object Generation
  164. Feature Normalization Prevents Collapse of Non-contrastive Learning Dynamics
  165. Channel Vision Transformers: An Image Is Worth 1 x 16 x 16 Words
  166. Differentially Private Secure Multiplication: Hiding Information in the Rubble of Noise
  167. Discovering Utility-driven Interval Rules
  168. Nonparametric estimation of a covariate-adjusted counterfactual treatment regimen response curve
  169. Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness
  170. Forgetting Private Textual Sequences in Language Models via Leave-One-Out Ensemble
  171. Task-Oriented Koopman-Based Control with Contrastive Encoder