(RT) Research Trends

Inspired by Best Paper Awards in Computer Science (since 1996) and CVPR-2019-Paper-Statistics, this repository collects the Best Papers from the AI&DL&ML&NLP&CV Top Conferences, also including statistics and visualization keywords of accepted papers from Top Conferences. They are future Research Trends!

2021

• ICLR 2021
  • [Statistics and Visualization]

2020

• ICLR 2020

  • No Best Paper Awards This Year
  • [Statistics and Visualization]

• NeurIPS 2020

  • [Best Paper] Language Models are Few-Shot Learners
  • [Best Paper] No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium
  • [Best Paper] Improved Guarantees and a Multiple-Descent Curve for Column Subset Selection and the Nystrom Method
  • [Test of Time Award] Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent

• ICML 2020

  • [Best Paper] On Learning Sets of Symmetric Elements
  • [Best Paper] Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems

• AAAI 2020

  • [Best Paper] WinoGrande: An Adversarial Winograd Schema Challenge at Scale
  • [Best Student Paper] Fair Division of Mixed Divisible and Indivisible Goods

• CVPR 2020

  • [Best Paper] Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild
  • [Best Student Paper] BSP-Net: Generating Compact Meshes via Binary Space Partitioning
  • [Statistics and Visualization]

• ECCV 2020

  • [Best Paper] RAFT: Recurrent All-Pairs Field Transforms for Optical Flow
  • [Best Paper Honorable Mention]
    • Towards Streaming Perception
    • NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
  • [Best Demo] Inter-Homines: Distance-Based Risk Estimation for Human Safety

• ACL 2020

  • [Best Paper] Beyond Accuracy: Behavioral Testing of NLP Models with CheckList
  • [Honorable Mention Papers – Main Conference]
    • Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks
    • Tangled up in BLEU: Reevaluating the Evaluation of Automatic Machine Translation Evaluation Metrics
  • [Best Theme Paper] Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data
  • [Honorable Mention Paper – Theme] How Can We Accelerate Progress Towards Human-like Linguistic Generalization?
  • [Best Demonstration Paper] GAIA: A Fine-grained Multimedia Knowledge Extraction System
  • [Honorable Mention Papers – Demonstrations]
    • Torch-Struct: Deep Structured Prediction Library
    • Prta: A System to Support the Analysis of Propaganda Techniques in the News

• EMNLP 2020

  • [Best Paper] Digital voicing of Silent Speech
  • [Honourable Mention Papers]
    • If beam search is the answer, what was the question?
    • GLUCOSE: GeneraLized and COntextualized Story Explanations
    • Spot The Bot: A Robust and Efficient Framework for the Evaluation of Conversational Dialogue Systems
    • Visually Grounded Compound PCFGs
  • [Best Demonstration Paper] 🤗 Transformers: State-of-the-art Natural Language Processing

2019

• ICLR 2019

  • [Best Paper] Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks
  • [Best Paper] The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
  • [Statistics and Visualization]

• NeurIPS 2019

  • [Outstanding Paper Award] Distribution-Independent PAC Learning of Halfspaces with Massart Noise
  • [Outstanding New Directions Paper Award] Uniform convergence may be unable to explain generalization in deep learning

• ICML 2019

  • [Best Paper] Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations
  • [Best Paper] Rates of Convergence for Sparse Variational Gaussian Process Regression

• AAAI 2019

  • [Best Paper] How to Combine Tree-Search Methods in Reinforcement Learning
  • [Best Student Paper] Zero Shot Learning for Code Education: Rubric Sampling with Deep Learning Inference

• CVPR 2019

  • [Best Paper] A Theory of Fermat Paths for Non-Line-of-Sight Shape Reconstruction
  • [Best Student Paper] Reinforced Cross-Modal Matching & Self-Supervised Imitation Learning for Vision-Language Navigation
  • [Statistics and Visualization]

• ICCV 2019

  • [Best Paper] SinGAN: Learning a Generative Model from a Single Natural Image
  • [Best Student Paper] PLMP - Point-Line Minimal Problems in Complete Multi-View Visibility
  • [Statistics and Visualization]

• ACL 2019

  • [THE BEST LONG PAPER] Bridging the Gap between Training and Inference for Neural Machine Translation.
  • [THE BEST SHORT PAPER] Do you know that Florence is packed with visitors? Evaluating state-of-the-art models of speaker commitment.
  • [THE BEST DEMO PAPER] OpenKiwi: An Open Source Framework for Quality Estimation
  • [OUTSTANDING PAPERS]
    • Emotion-Cause Pair Extraction: A New Task to Emotion Analysis in Texts.
    • A Simple Theoretical Model of Importance for Summarization
    • Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems
    • We need to talk about standard splits
    • Zero-shot Word Sense Disambiguation using Sense Definition Embeddings

• EMNLP 2019

  • [Best Paper] Specializing Word Embeddings (for Parsing) by Information Bottleneck
  • [Best Paper Runner-UP] Designing and Interpreting Probes with Control Tasks
  • [Best Resource Paper] The FLORES Evaluation Datasets for Low-Resource Machine Translation: Nepali–English and Sinhala–English
  • [Best Demo Paper] AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models
  • [Statistics and Visualization]

• NAACL 2019

  • [Best Long Paper] BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
  • [Best Short Paper] Probing the Need for Visual Context in Multimodal Machine Translation
  • [Best Resource Paper] CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge
  • [Best Thematic Paper] What’s in a Name? Reducing Bias in Bios Without Access to Protected Attributes
  • [Best Explainable NLP Paper] CNM: An Interpretable Complex-valued Network for Matching

License

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