Deep Learn Research

Deep Learn — Research Papers

Goal

Move from "I skimmed the abstract" to "I can explain every design decision and implement the key idea."

Phase 0 — Context First

Before reading a word of the paper:

1. Google the problem it solves — read a high-level blog post (5 min).
2. Find out: what was the state of the art BEFORE this paper?
3. Note your prediction: "I think this paper will argue that..."

Papers are easier to understand when you already feel the pain of the problem.

Phase 1 — Three-Pass Reading

Pass 1: Structure scan (10 min) Read only:

• Title, abstract
• Section headings
• First sentence of each section
• Conclusion

Answer: What is the claim? What experiment proves it?

Pass 2: Concept read (60 min) Read fully, but skip:

• Math proofs
• Complex derivations (mark them for Pass 3)

For every figure: cover the caption and describe what you see first, then check.

Answer: How does the proposed method actually work?

Pass 3: Deep dive (2–4 hours)

• Work through the math line by line
• Verify the key equations with a small example
• Read the related work section to understand the landscape

Phase 2 — Implement the Key Idea

For every paper, implement a minimal version of the core contribution:

Rules:

• Do not use the framework's built-in version while implementing — understand it first
• Test with a small, inspectable example where you know the expected output

✅ Gate: Implementation runs and produces results matching the paper's description.

Phase 3 — Critical Review

Answer these questions honestly:

1. What assumption does this paper make that might not hold in practice?
2. What does the ablation study show is most important?
3. What future work do the authors suggest — and has it been done?
4. What would you do differently?

Read 2 papers that cite this paper — did they confirm or challenge its findings?

✅ Gate: You can identify at least 2 limitations and explain why they matter.

Phase 4 — Feynman Test

Write a blog post draft (or explain out loud) that covers:

1. The problem (1 paragraph)
2. The key insight (1 paragraph)
3. How it works, with a diagram (main section)
4. Why it matters / what it unlocked (1 paragraph)

You understand it when you can write clearly about it.

Active Recall Prompts

• What is the central claim of this paper in one sentence?
• Draw the architecture from memory.
• What is the single most important equation, and what does each term mean?
• What would the authors say if you suggested [common alternative]?

Examples

teach me the Attention Is All You Need paper deeply I want to understand the MapReduce paper, guide me step by step explain BERT architecture and help me implement the key parts