应用 · chemistry physics and earth sciences论文趋势 2023–2026
应用方向：chemistry_physics_and_earth_sciences
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 3,316 篇被归入该主题的论文。
主要结论
- 应用 · chemistry physics and earth sciences论文从 2023 年的 293 篇增长到 2026 年的 1,217 篇，三年间扩大到约 4.2 倍。
- NeurIPS 是发应用 · chemistry physics and earth sciences论文最多的会议，2023–2026 年共 1,107 篇，占四个会议总量的 33%。
- 交叉方向里涨得最快的是多模态大模型：同时属于两个主题的论文从 2023 年的 3 篇增至 2026 年的 95 篇。
- 在「应用领域」的 10 个主题里，它的 2026 年论文数排第 2；同组增长最快的应用 · health medicine是 61 倍，应用 · chemistry physics and earth sciences是 4.2 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 77 | 65 | 83 | 68 | 293 |
| 2024 | 276 | 160 | 164 | 80 | 680 |
| 2025 | 455 | 297 | 287 | 87 | 1,126 |
| 2026 | 299 | 373 | 441 | 104 | 1,217 |
代表论文
按年份和会议均匀挑选，方便快速看到每一届的样貌
- NeurIPS 2026(Strongly) Replicable Distribution Testers imply High Probability Distribution Testers
- ICML 2026(Be Cautious!) Bio-Foundation Models Are Not Yet Robust to Biologically Plausible Perturbations and ML Transformations
- ICLR 2026(U)NFV: Supervised and Unsupervised Neural Finite Volume Methods for Solving Hyperbolic PDEs
- CVPR 2026AssemblyBench Physics-Aware Assembly of Complex Industrial Objects
- NeurIPS 2025A Partition Cover Approach to Tokenization
- ICML 2025A Machine Learning Approach to Duality in Statistical Physics
- ICLR 2025A new framework for evaluating model out-of-distribution generalisation for the biochemical domain
- CVPR 2025Accurate Differential Operators for Hybrid Neural Fields
- NeurIPS 2024$\nabla^2$DFT: A Universal Quantum Chemistry Dataset of Drug-Like Molecules and a Benchmark for Neural Network Potentials
- ICML 2024$\bf{\Phi}_\textrm{Flow}$: Differentiable Simulations for PyTorch, TensorFlow and Jax
- ICLR 2024A Foundation Model for Error Correction Codes
- CVPR 2024EarthLoc: Astronaut Photography Localization by Indexing Earth from Space
- NeurIPS 2023ANTN: Bridging Autoregressive Neural Networks and Tensor Networks for Quantum Many-Body Simulation
- ICML 2023A Deep Conjugate Direction Method for Iteratively Solving Linear Systems
- ICLR 2023A framework for benchmarking Class-out-of-distribution detection and its application to ImageNet
- CVPR 20233D Human Pose Estimation via Intuitive Physics
- NeurIPS 2026ADA: Resolving Attribution Ambiguity in End-to-End Power System Dispatch via Two-Time-Scale Stochastic Approximation
- ICML 2026(Sparse) Attention to the Details: Preserving Spectral Fidelity in ML-based Weather Forecasting Models
- ICLR 2026A Genetic Algorithm for Navigating Synthesizable Molecular Spaces
- CVPR 2026Brewing Stronger Features Dual-Teacher Distillation for Multispectral Earth Observation
全部应用 · chemistry physics and earth sciences论文
共 3,316 篇，第 64 / 67 页
- ICLR 2023Transformer Meets Boundary Value Inverse Problems
- ICLR 2023Volumetric Optimal Transportation by Fast Fourier Transform
- ICLR 2023What Can we Learn From The Selective Prediction And Uncertainty Estimation Performance Of 523 Imagenet Classifiers?
- ICLR 2023Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning
- ICLR 2023WiNeRT: Towards Neural Ray Tracing for Wireless Channel Modelling and Differentiable Simulations
- ICLR 2023Winning Both the Accuracy of Floating Point Activation and the Simplicity of Integer Arithmetic
- ICML 2023A Coupled Flow Approach to Imitation Learning
- ICML 2023A Deep Conjugate Direction Method for Iteratively Solving Linear Systems
- ICML 2023A Neural PDE Solver with Temporal Stencil Modeling
- ICML 2023A Robust Optimisation Perspective on Counterexample-Guided Repair of Neural Networks
- ICML 2023Accuracy on the Curve: On the Nonlinear Correlation of ML Performance Between Data Subpopulations
- ICML 2023Achieving High Accuracy with PINNs via Energy Natural Gradient Descent
- ICML 2023Applied Online Algorithms with Heterogeneous Predictors
- ICML 2023Bandit Multi-linear DR-Submodular Maximization and Its Applications on Adversarial Submodular Bandits
- ICML 2023Building Neural Networks on Matrix Manifolds: A Gyrovector Space Approach
- ICML 2023Can Large Language Models Reason about Program Invariants?
- ICML 2023Complexity of Block Coordinate Descent with Proximal Regularization and Applications to Wasserstein CP-dictionary Learning
- ICML 2023Constant Matters: Fine-grained Error Bound on Differentially Private Continual Observation
- ICML 2023Contextual Combinatorial Bandits with Probabilistically Triggered Arms
- ICML 2023Controlled Differential Equations on Long Sequences via Non-standard Wavelets
- ICML 2023Convergence of Proximal Point and Extragradient-Based Methods Beyond Monotonicity: the Case of Negative Comonotonicity
- ICML 2023Cross-Entropy Loss Functions: Theoretical Analysis and Applications
- ICML 2023D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching
- ICML 2023Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value
- ICML 2023Delay-agnostic Asynchronous Coordinate Update Algorithm
- ICML 2023Difference of submodular minimization via DC programming
- ICML 2023Differentially Private Hierarchical Clustering with Provable Approximation Guarantees
- ICML 2023Dimension-independent Certified Neural Network Watermarks via Mollifier Smoothing
- ICML 2023Disentangled Multi-Fidelity Deep Bayesian Active Learning
- ICML 2023DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian Inference
- ICML 2023Efficient and Equivariant Graph Networks for Predicting Quantum Hamiltonian
- ICML 2023Fair and Accurate Decision Making through Group-Aware Learning
- ICML 2023FP-Diffusion: Improving Score-based Diffusion Models by Enforcing the Underlying Score Fokker-Planck Equation
- ICML 2023Fully Dynamic Submodular Maximization over Matroids
- ICML 2023Functional Neural Networks: Shift invariant models for functional data with applications to EEG classification
- ICML 2023General Covariance Data Augmentation for Neural PDE Solvers
- ICML 2023GOAT: A Global Transformer on Large-scale Graphs
- ICML 2023Group Equivariant Fourier Neural Operators for Partial Differential Equations
- ICML 2023Harmonic Neural Networks
- ICML 2023In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect Estimation
- ICML 2023Intrinsic Sliced Wasserstein Distances for Comparing Collections of Probability Distributions on Manifolds and Graphs
- ICML 2023Latent Traversals in Generative Models as Potential Flows
- ICML 2023Learning Antidote Data to Individual Unfairness
- ICML 2023Learning Functional Distributions with Private Labels
- ICML 2023Learning Mixtures of Gaussians with Censored Data
- ICML 2023Learning Neural PDE Solvers with Parameter-Guided Channel Attention
- ICML 2023Learning Physical Models that Can Respect Conservation Laws
- ICML 2023Linear optimal partial transport embedding
- ICML 2023Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior Inference
- ICML 2023Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查应用 · chemistry physics and earth sciences在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？
AI 会调用的工具：get_topic_stats {"topic": "app-chemistry-physics-and-earth-sciences"}
常见问题
- 2023–2026 年四大会议一共有多少篇应用 · chemistry physics and earth sciences论文？
- 共 3,316 篇，按年份分别是 2023 年 293 篇、2024 年 680 篇、2025 年 1,126 篇、2026 年 1,217 篇。
- NeurIPS 2026 有多少篇应用 · chemistry physics and earth sciences论文？
- NeurIPS 2026 有 299 篇应用 · chemistry physics and earth sciences论文，上一届是 455 篇。
- ICLR 2026 有多少篇应用 · chemistry physics and earth sciences论文？
- ICLR 2026 有 373 篇应用 · chemistry physics and earth sciences论文，上一届是 297 篇。
- ICML 2026 有多少篇应用 · chemistry physics and earth sciences论文？
- ICML 2026 有 441 篇应用 · chemistry physics and earth sciences论文，上一届是 287 篇。
- CVPR 2026 有多少篇应用 · chemistry physics and earth sciences论文？
- CVPR 2026 有 104 篇应用 · chemistry physics and earth sciences论文，上一届是 87 篇。
- 哪个会议的应用 · chemistry physics and earth sciences论文最多？
- NeurIPS，2023–2026 年共 1,107 篇。